Ceic Data Jobs in Usa

Role - Lead Data Analyst

Location : Denver, CO [Local Only] In-person client interview

Job Summary

This role is responsible for extracting meaningful information and providing the business with actionable recommendations to drive outcomes. Responsible for leveraging existing data sources and creating new analysis methods.

Major Duties And Responsibilities

• Actively and consistently supports all efforts to simplify and enhance the customer experience.
• Lead client teams to define clear business requirements for data analysis projects.
• Provide metrics definition, data visualizations, and ETL requirements.
• Extract, clean and engineer data to be ready for analysis.
• Interpret data, formulate hypotheses and develop an analytical approach to meet business requirements
• Create customer-readable reports using advanced visualization tools such as Tableau, PowerBI, Excel, etc.
• Work to obtain and ingest new reference data sources required to deliver on business need.
• Communicate results and make recommendations using data visualization and presentations.
• Create analyses and dashboards that are usable, elegant and industry leading.

Required Qualifications

• Ability to read, write, speak and understand English
• Demonstrated in-depth ability to analyze, interpret and present data
• Demonstrated in-depth ability to make decisions and solve problems while working under pressure
• Demonstrated in-depth ability to prioritize and organize effectively
• Demonstrated mastery of advanced analytics processes and reporting design principles
• Demonstrated mastery in SQL, Python, or R
• Demonstrated in-depth proficiency of design and implementation practices within data visualization tools
• Effective communication skills, verbal and written, for internal and external customers
• Ability to communicate complex technical concepts to all levels of an organization to aid in decision-making

Required Education

• Bachelor's degree in Computer Science, Engineering or related field; or equivalent experience

Required Related Work Experience and Number of Years

• 7+ years’ experience working within a data platform/data analysis environment
• 7+ years’ experience in a customer facing products/services environment
• Technical Lead, exp in more industries, more expert than Data Insight Analysts

Job Title: Data Analyst/Scientist

Duration: 12 months | Temporary to Hire

Location: Elgin, IL 60196

Worksite: Remote | 8:00 AM - 05:00 PM

Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).

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• Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
  
• Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
  
• Perform predictive modeling and forecasting using Python, R and Tableau
  
• Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
  
• Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
  
• Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
  
• Detailed data validation to ensure directional accuracy
  
• Server license management and data access enablement as well as data visualization support
  
• Manage, update and document processes, websites, and training documentation.
  
• Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
  
• Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
  
• Perform rigorous testing and post-validation publishing of reports
  

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• Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
  
• 3+ years of data analytics and reporting experience
  

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• Excellent data visualization skills
  
• Solid experience in creating dashboard reporting in Tableau is a must for this position
  
• Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
  
• Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
  
• Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
  

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• Experience with Smartsheet development.
  
• Excellent oral and written communication skills.
  
• Extremely detail-oriented and organized with a high level of commitment and follow-through.
  
• Ability to manage multiple priorities in a fast-paced, ever-changing environment.
  
• A motivated self-starter who can work both autonomously and collaboratively.
  
• Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
  

Open date: May 28, 2025

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, May 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension, the professional and continuing education division at the University of California, Berkeley, invites applications for a pool of qualified instructors to teach in-person professional post-baccalaureate courses for our Business, Data, and Innovation Visiting Student Programs. All courses are offered weekdays in-person on the UC Berkeley campus with some online instructional components. The pool will remain in place for nine months; those interested in remaining in the pool beyond the advertised final closing date must reapply. The number of these positions varies from semester to semester, depending on the needs of the department.

We are seeking qualified applicants who possess subject matter expertise and/or interest in the following subjects/specializations (but not limited to).

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• Accounting Foundations for Business
  
• Applied Economics for Business
  
• Marketing Management
  
• Organization and Management
  

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• Data Analytics Capstone
  
• Data Visualization
  
• Data Warehousing and Business Intelligence
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  

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• Artificial Intelligence Foundations
  
• Data Science Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning
  
• Machine Learning and Deep Learning
  

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• Building a Business Plan
  
• Business Negotiating
  
• Business Process Modeling and Design
  
• Design Thinking and Prototyping
  
• Finance for Entrepreneurs
  
• Innovative Business Models for Entrepreneurs
  
• Leadership and Change Management for Startup Founders
  
• Leadership and Sustainable Strategies for Innovation and Growth
  
• Managing Product and Go-to-Market Strategies
  
• Marketing Research: Concepts and Techniques
  

Instructor duties include but are not limited to:

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• Complete mandatory training programs by deadlines established by UC Berkeley.
  
• Complete required administrative tasks in a timely manner including: updating and submitting syllabi using approved syllabus template; communicating required texts and materials; communicating classroom technology and support needs, etc.
  
• Make appropriate adjustments to continually improve the syllabus, curriculum and course materials. May be based upon programmatic and/or student feedback.
  
• Prepare and deliver course materials, lectures/presentations, and design learning assessments.
  
• Design interactive and motivational classroom activities to fully engage participants and to reinforce student learning.
  
• Stay current within the subject, discipline or field of practice.
  
• Use subject-matter expertise and leverage additional resources appropriately to enhance the curriculum.
  
• Utilize course support platforms, including the Canvas Learning Management System and Zoom Pro (as applicable).
  
• Communicate teaching objectives and specific learning outcomes to students, and clearly outline/explain the grading policies for the course.
  
• Respond to student questions and learning needs in a timely manner.
  
• Employ culturally competent and other relevant teaching methodologies in the classroom, including teaching non-native speakers and/or students with academic letters of accommodations for disabilities.
  
• Evaluate student achievement of specific learning outcomes and assign grades.
  
• Post final student grades to the transcript system within two weeks of course completion.
  
• Handle student inquiries about final grades and consult with Program Director/Manager as needed.
  
• Retain student records according to University policies.
  

Program: academic-areas/business/#!?tab=full-time-programs

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• Bachelor's degree (or equivalent international degree)
  

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• 3 or more years of professional industry work experience since degree, or 3 or more years of teaching experience since degree.
  
• All work must be performed in the United States, whether in person or online.
  
• For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. Due to the part-time, temporary nature of instructor positions, UC Berkeley Extension is unable to provide US visa/work permits for this position.
  

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• Advanced degree in subject area preferred.
  
• 5 or more years of professional industry work experience in course subject since degree.
  
• 5 or more years of teaching, training, mentoring, or coaching experience in course subject, within a U.S. corporate environment or at a U.S. college/university institution.
  
• Knowledge of federal and California state laws and regulations as applicable to the course subject.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or Resume.

  
  

• Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop and open it using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete, save, and upload the PDF form to your AP Recruit application.

  
  

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• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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• REQUIRED: NetSuite experience
  
• PREFERRED: Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW).
  
• Create standards for reporting, dashboards, and visualization solutions.
  
• Creates reusable data models that are aligned to governance and department standards.
  
• Document business definitions, data logic and repot specifications.
  
• Create standards around change management for data models and NSAW.
  
• Validate and ensure data accuracy, consistency and reliability across all data models and reporting.
  
• Create documentation, hands on training and recorded training to increase end user acceptance and engagement.
  
• Other duties as assigned.
  

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• Bachelor's degree in computer information systems, or related field.
  
• 5-10 years hands on experience.
  
• Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools.
  
• Transforming complex enterprise data into usable models, and visual designs for end users.
  
• Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements
  
• Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills.
  
• Must be a US Citizen
  
• Excellent verbal and written communication skills.
  

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• Proficient in Microsoft Office Suite or related software.
  
• Excellent organizational skills and attention to detail.
  
• Excellent interpersonal skills.
  

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• Microsoft Office Suite or related software.
  

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• No supervisory responsibilities for this position.
  

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• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

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• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

Position Summary:

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.

The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list).

To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers

This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data.

Key Responsibilities:

HPC Cybersecurity & System Administration:

• Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.).
• Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing.
• Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency.
• Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members.
• Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research.
• Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc.
• Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently.
• Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment.
• Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources.
• Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai.
• Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date.
• Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai.
• Provide after-hours support as needed.
• Perform other duties as assigned or requested.

Requirements:

• Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred.
• 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment.
• Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc.
• Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare).
• In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system
• Experience with secure enclaves and confidential computing.
• Proven ability to provide mentorship and technical leadership to team members.
• Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance.
• Excellent analytical ability and troubleshooting skills.
• Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused.
• Scripting and programming experience.

Preferred Experience

• Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures.
• Experience with Azure, AWS or Google cloud services.
• Experience with LSF job scheduler and GPFS Spectrum Scale.
• Experience in a healthcare environment.
• Experience in a research environment is highly preferred.
• Experience with software that enables privacy-preserving linking of PHI.
• Experience with Globus data transfer.
• Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

About Us 

Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals. 

Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration. 

The Role 

We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows. 

You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time. 

Responsibilities 

• Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models. 
• Operate and support internal Python models reliably, including troubleshooting and root-cause debugging. 
• Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient. 
• Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects. 
• Automate data transformation and reporting workflows with clean, reusable code. 
• Support the preparation of audit-ready workpapers and other client-ready documentation. 
• Participate in internal and client meetings as needed to clarify goals and communicate findings. 
• Improve documentation, internal tools, and project templates. 

What Success Looks Like 

• You can run internal model workflows end-to-end with minimal oversight. 
• You can diagnose and resolve issues independently and improve reliability for the broader team. 
• You deliver meaningful improvements to performance, automation, and repeatability. 
• You are a strong team player who supports delivery execution and reduces friction. 

Required Qualifications 

• Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts). 
• Strong experience working with large datasets and performance constraints. 
• Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets). 
• Comfort in Jupyter notebooks and reproducible workflows (pandas required). 
• Proven debugging ability and strong analytical judgment. 
• Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred. 
• Clear communication and a collaborative working style. 

Nice to Have 

• Experience with healthcare data or hospital finance/reimbursement workflows 
• Familiarity with EPIC healthcare data 
• Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases) 
• SQL proficiency 

Location, Logistics, and Process 

• Nashville Hybrid or Fully Remote. 
• Background check required. 
• This role involves HIPAA-protected data and requires strict data security practices. 
• Interview process includes a Python technical assessment. 

Compensation & Benefits 

This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match. 

Hybrid Onsite Schedule In office T, W, Th; Remote M, F

Job Description: Data Analyst – Global Patient Access Program (GPAP)

Location: North Chicago, IL, USA (Hybrid eligible), AP30

Overview: The Data Analyst for the Patient Assistance Program (PAP), supporting GPAP’s data transformation and governance, will be instrumental in building and maintaining the backbone of automated reporting and KPI dashboards. This role ensures a single source of truth for GPAP operations, drives analytics innovation, and supports the integration and consistency of data across the program. You’ll collaborate closely with workstream leaders, lead in bi-weekly scrum sessions, and deliver insight-rich, timely outputs for senior leadership.

Key Responsibilities:

• Develop, automate, and maintain standardized PAP reporting, KPI dashboards, and ad hoc analytics tools using Tableau, Excel, and Snowflake.

• Lead twice-weekly Scrum sessions with workstream team members, ensuring progression of data tasks, intake of new data requests, and alignment on analytics approaches in a Smart Sheet-driven, agile environment.

• Ensure data consistency, quality, and accuracy across all platforms, supporting GPAP governance and the creation/control of the 'source of truth.'

• Enable and facilitate self-service dashboards and reporting marts for internal and external stakeholders.

• Collaborate with cross-functional partners (BTS, ACA, GPAP, Steer Co) to support program data needs, forecasting, and reporting methodologies.

• Support quarterly and weekly reporting processes—including application, shipment, and claim-level analytics.

• Partners with data lead to document extraction methods, automate/accelerate reporting, and track program impacts, escalations, and business intelligence.

• Identify new opportunities for advanced analytics or insights to increase PAP operational efficiency and program sustainability.

Qualifications:

• Bachelors in a relevant field (Analytics, IT, Business, Data Science, or related)

• 3-5 years’ experience in data analytics, reporting, or business intelligence in healthcare, pharma, or related industry

• Advanced proficiency in Tableau and Excel; experience with Smart Sheet and Snowflake (SQL skills required)

• Demonstrated experience leading agile meetings (scrum/project management preferred)

• Strong attention to detail, data integrity, and quality control

• Experience in KPI development, dashboard design, and self-service reporting

• Effective communicator with ability to drive cross-team consensus and present findings to varied audiences

• Collaborative mindset, able to work in fast-paced, matrixed environments

• In office Tues, Wed, Thurs

Preferred:

• Experience in patient assistance programs or US healthcare market access

• Familiarity with organizational data governance or compliance requirements

Be part of a team unlocking strategic impact through advanced analytics, automation, and insight-driven transformation. Shape the way data informs patients’ access and program value across a global organization while enjoying professional growth in a supportive, inclusive culture.

Company Description

Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .

Who We Are:  Excellence, Innovation, Passion, Compassion, Communication

Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.

How We Serve:

The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.

Job Summary:

The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.

This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.

Key Responsibilities

Claims Data Quality & Governance

• Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
• Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
• Partner with data engineering, vendors, and payers to remediate data quality issues
• Define and maintain claims data validation rules and documentation

Analytics & Utilization Management

• Analyze and report on core utilization metrics, including:
• Inpatient admits / 1,000
• ED visits / 1,000
• Readmissions
• PMPM cost trends
• Length of stay
• Avoidable admissions
• Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
• Support matched cohort, pre/post, and trend analyses
• Translate claims data into actionable insights for clinical and operations teams

Platform Ownership (MedeAnalytics)

• Serve as a power user and analytics owner of the MedeAnalytics platform
• Build, validate, and QA dashboards, reports, and analytic views
• Ensure alignment between platform outputs and internal data models
• Act as internal SME for MedeAnalytics capabilities and limitations

Stakeholder & Team Collaboration

• Partner closely with:
• Clinical leadership
• Operations
• Finance
• Growth
• Present findings to senior leadership in clear, non-technical language

Required Qualifications

• 5–8 years of healthcare analytics experience
• Deep experience working with payer medical and pharmacy claims data
• Strong understanding of utilization metrics and healthcare cost drivers
• Hands-on experience with MedeAnalytics (required)
• Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
• Proven ability to QA complex healthcare datasets
• Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field

Preferred Qualifications

• Experience supporting value-based care, MA, D-SNP, or ACO programs
• Familiarity with HEDIS, Stars, or CMS reporting concepts
• Experience with risk adjustment (HCCs)

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. 
• While performing the duties of this job, the employee is regularly required to talk and hear.
• This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.

EEOC STATEMENT:  

• All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.  

About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .

Role Summary

Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.

This role reports to the Chief Technology Officer and is based in the office, 5 days a week.

Essential Job Functions

• Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
• Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
• Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
• Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
• Model the successful use of AI as a capabilities & resource extension, not just a gimmick
• Develop individuals & teams of technologists in the Data & Analytics space as their leader

Qualifications and Technical Competencies

• 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
• 5-7 years managing agile projects (Scrum, Kanban, SAFe)
• 3-5 years managing people (direct reports, manager of managers)
• Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
• Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
• Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
• Advanced proficiency in common visualization tools (Tableau, PowerBI)
• Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education

Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Closing

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email

#LI-Onsite

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.

Essential Functions:

• Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
• Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
• Support internal dashboards by creating backend data solutions and integrating with Vision.
• Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
• Collaborate with teams to streamline processes through automation and data tools.
• Maintain documentation of data procedures, workflows, and system modifications.
• Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
• Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
• Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.

Needed Skills:

• Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
• Ability to create and maintain productive relationships with employees, clients, and vendors.

Education/Experience Minimum:

• 3-5 years of experience
• Strong programming skills having the ability to write complex queries.
• Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
• Preferred experience with Deltek Vision v7.6 and VantagePoint
• Experience in building automated processes and data workflows.
• Strong problem-solving and attention to detail.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

We are looking for a Data Analyst to join our team and deliver valuable customer experiences. Our analysts are team-oriented, collaborative, and focus on delivering value in everything we do. We use agile methods to analyze, define and document business requirements for software solutions which align with organizational goals and help our clients achieve their desired outcomes. We support our clients in their digital product needs – from vision to roadmap to execution.

Responsibilities

• Develop thorough understanding of the business context and objectives by, among other things, eliciting and analyzing requirements from all relevant stakeholders (business users, data engineers, data scientists, and similar).
• Able to operationalize business questions using data.
• Demonstrate understanding of relational databases, data architecture, and data modeling.
• Capable of building complex SQL statements to answer business questions.
• Experience designing conceptual data models/ entity relationship diagrams/ business process models.
• Able to transform and cleanse data using tools such as R, SQL, or Python.
• Able to interpret, understand, and explain data to clients.
• Basic knowledge of dashboard management and creation (drag and drop) for storytelling of regular information reports and ad-hoc requests.
• Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members.
• Experience documenting Data Analysis processes and outcomes.
• Industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).

Qualifications

• B.A. or B.S. (focus in Computer Information Systems, Business Management, Engineering, or related area of study is a plus)
• Ability to obtain and maintain a Top Secret (TS) clearance and a Public Trust clearance is required.
• 3+ years’ experience in IT or related industry
• Prior consulting or client management experience preferred
• Intermediate/Advanced SQL skills
• Experience working with Data Visualization tools such as Tableau or Power BI
• Preferred experience with cloud analytics products such as Google Cloud, AWS, or Microsoft Azure
• Preferred knowledge of statistics and experience using statistical packages for analyzing datasets
• Strong analytical aptitude and ability to structure complex or undefined business problems
• Strong verbal and written communication skills; able to report and present findings to varying stakeholders
• Hands-on experience using tools to help clients make data-driven decisions
• Knowledge and practice of core Agile values and principles a plus
• Initiative to learn new strategies and trends to continue to educate self analytically, technically, and technologically
• Intermediate experience with Microsoft Excel and Power Point
• Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact or 7

We are hiring a Master Data Analyst to support ERP data management. This role is responsible for maintaining accurate and clean master data in the ERP system to support finance, supply chain, and manufacturing operations.

Key Responsibilities

• Create, update, and maintain master data in ERP (materials, customers, suppliers, finance data)
• Ensure data accuracy, consistency, and compliance
• Perform data validation, cleansing, and audits
• Support data governance policies
• Troubleshoot ERP data issues
• Work with cross-functional teams (Finance, IT, Supply Chain, Manufacturing)
• Generate reports to monitor data quality

Required Qualifications

• Bachelor’s degree (Information Systems, Business, Data, or related field)
• 3–5+ years of ERP experience (e.g., SAP or similar system)
• Strong Excel skills
• Experience with master data management
• Detail-oriented with strong problem-solving skills

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

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