Ceic Data Jobs in Usa

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

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.

Find your future with us.The Boeing Defense, Space & Security (BDS) KC-46 Tanker Program is seeking a Product Lifecycle Management Engineer to perform change integration functions for new and derivative products and provide technical support in Configuration Status Accounting tasks such as As-Built to As-Design reconciliation.

This is a BDS position located in Everett, Washington, and reports to the PLM Manager of the KC-46 Configuration and Data Management team.The KC-46 is a high-visibility, leading-edge Commercial Derivative airplane program to support the United States Air Force and International Customers.

As a Product Lifecycle Management Engineer, you will use Program Management Best Practices to oversee the definition and integration of configuration and data management tasks that span multiple engineering functions and airplane level engineering projects and processes as the KC-46 program transitions from Development into Production phases.

This position will be 100% onsite in Everett, WA.Position Responsibilities:Collaborates/Leads the development, analysis, management and compliance verification of process and product baselines of complex productsDefines, plans, coordinates and conducts (or leads) product and subsystem level technical design reviews and audits for new and derivative products.Coordinates/leads the integration and control of the configuration of Software and Hardware product elements and analyzes & resolves issues with engineering product structure.Develops, integrates and implements (or leads) engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions.Applies knowledge of the interface and integration constraints for complex systems to identify and analyze hardware, software, product and system impacts to effectively define an integrated change proposal.Creates, reviews and manages software description and software configuration documents and artifacts.

Prepare SW deliverables meeting contract and CDRL (Contract Data Requirement List)Ensure consistent application of Configuration and Data management policies, processes and program management best practices, and those process documents are current and accurate.Understands and able to interpret contract requirements, Contractor Data Requirements List (CDRL) content related to Product Life Cycle include Configuration Management, Data Management and Configuration Status Accounting (CSA).This position will be 100% onsite in Everett, WAThis position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship.

An interim and/or final U.

S.

Secret Clearance Post-Start is required.Basic Qualifications (Required Skills/Experience):Level 3: Bachelor's degree and typically 5 or more years' experience in an engineering classification or a Master's degree with typically 3 or more years' experience in an engineering classificationLevel 4: Bachelor's degree and typically 9 or more years' experience in an engineering classification or a Master's degree with typically 7 or more years' experience in an engineering classificationWritten and verbal communication skills with strong technical content.Experience and Knowledge of responsibilities and tasks performed by various Engineering Experience with Microsoft Office Applications; especially highly skillful with Excel as data process tool.Skills and ability to: collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources.Knowledge of drawing/data systems (e.g., ""used on"" drawings, part relationships, product data management) and configuration management principles and processes (e.g., part number control, revision level, naming conventions, product identification numbering systems).

Able to understand and interpret contract requirements, especially Contractor Data Requirements List (CDRL) content related to Configuration Status Accounting (CSA).Preferred Qualifications:Knowledge of responsibilities and tasks performed by various Engineering departments/disciplines (e.g., design, test, software, technology, avionics).

Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business).Familiar with relational database language and tools such as SQL Server, My SQLFamiliar with application development languages and tools such as C-Sharp, HTML, CSS, Java Script.Relocation:This position does not offer relocation.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift.

Occasional alternative shifts as needed.Pay & Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.

Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary Pay Range:Level 3: $111,350-$150,650Level 4: $135,150-$182,850Applications for this position will be accepted until Mar.

20, 2026Export Control Requirements:This is not an Export Control position.EducationBachelor's Degree or Equivalent RequiredRelocationRelocation assistance is not a negotiable benefit for this position.Security ClearanceThis position requires the ability to obtain a U.

S.

Security Clearance for which the U.

S.

Government requires U.

S.

Citizenship.

An interim and/or final U.

S.

Confidential Clearance Post-Start is required.Visa SponsorshipEmployer will not sponsor applicants for employment visa status.ShiftThis position is for 1st shiftEqual Opportunity Employer:Boeing is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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.