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Senior Data Analytics Engineer (Customer Data)
✦ New
Salary not disclosed
Irving, TX 1 day ago

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.


By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Not Specified
Bus Data Analyst - Blue Bell, PA
Salary not disclosed
Blue Bell, PA 2 days ago
Back Bus Data Analyst #4735 Blue Bell, Pennsylvania, United States Apply X Facebook LinkedIn Email Copy Job Description:

The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.




Responsibilities:




Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.



Requirements:

* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.



Not Specified
Data Manager
Salary not disclosed
Atlanta, GA 2 days ago
Apply for JobJob ID295066

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Job Summary

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.



Responsibilities

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.



Required Qualifications

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.



Preferred Qualifications

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

  • Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
  • Certified Data Management Professional certification.
  • Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
  • Advanced knowledge of SQL, database design and data modeling expertise.
  • Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
  • Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.


USG Core Values

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Other Information

This is a supervisory position.This position does not have any financial responsibilities.This position will have some driving.This role is considered a position of trust.This position does not require a purchasing card (P-Card).This position will have some traveling.This position does not require security clearance or ability to obtain one.This position is located in Atlanta, GASalary range is dependent on candidates experiences and skills that ranges from $109,136 - $159,284.You must be a US citizen to be considered for this role.

Other Information

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.



Background Check

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Not Specified
Staff Data Engineer
✦ New
Salary not disclosed
Emeryville, CA 1 day ago

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

  • Better together:We check our egos at the door. We work together, so we win together.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

  • Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
  • Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
  • Optimize data structures and queries for performance, reliability, and cost efficiency.
  • Drivedata quality and governance initiatives, including metadata management and validation frameworks.
  • Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
  • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
  • Ensure adherence tosecurity, compliance, and data privacystandards.
  • Mentor junior engineers and contribute to establishingengineering best practices.
  • SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
  • Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
  • Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

  • Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
  • Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
  • Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
  • Strong understanding ofdata modeling,data governance, andmetadata management.
  • Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
  • Familiarity withPower BIvisualization tool.

Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
  • Experience buildingreal-time data pipelinesand streaming frameworks.
  • Strong analytical and problem-solving skills.
  • Proven ability tolead projectsand mentor engineers.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
DBA/DATA Architect
✦ New
Salary not disclosed
Denver, CO 16 hours ago

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.


Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract


Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

  • Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
  • Strong SQL, Python, Scala, and PySpark.
  • Experience in building data models and schema design.
  • Experience with SSIS
  • Oracle DB experience would be a Plus


Roles & Responsibilities

  • Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
  • Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
  • Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
  • Ensure data security, quality, and integrity throughout the lifecycle.
  • Monitor data pipelines and resolve performance issues or failures.
  • Work with data scientists and analysts to support data-driven decision-making.


Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.

Not Specified
Data Insights Analyst | Consumer Packaged Goods Manufacturing
✦ New
Salary not disclosed
Little Rock, AR 1 day ago

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.


Keys to an Interview: Data Insights Analyst | CPG Manufacturing

  • 2-5 years' Data Science and/or Business Analyst experience
  • Master's Degree preferred
  • Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
  • Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
  • Ability to interpret existing dashboards and datasets and identify meaningful insights
  • Clear communication skills and comfort explaining technical findings to non-technical stakeholders
  • Comfortable working on-site, with flexibility


Key Responsibilities: Data Insights Analyst | CPG Manufacturing

  • Analyze large, complex datasets to identify trends, opportunities, and risks across the business
  • Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
  • Build and enhance analytical models to support forecasting, budgeting, and strategic planning
  • Develop, maintain, and improve dashboards and reporting used by leadership
  • Clean, transform, and validate data to ensure accuracy and consistency
  • Partner cross-functionally to understand business questions and translate them into data-driven solutions
  • Present findings clearly and concisely to senior stakeholders
  • Support automation and process improvements to increase analytical efficiency
  • Contribute to high-visibility initiatives that influence growth and long-term strategy
Not Specified
Marketing Data & Analytics Analyst
✦ New
$10,000
The Opportunity:

Fisher Investment Europe's Global Marketing Group is the lead generation engine for the European Private Client Group, and the Marketing Data & Analytics Team plays a critical role in that process. In this position, you will help guide key decisions while assessing performance.

As a Marketing Data & Analytics Analyst, you will help maintain the flow of data through the department, provide timely analysis and reporting to all levels of Marketing stakeholders, and assist in ad hoc requests and long-term developments. Utilizing skills in SQL, Excel, VBA, PowerBI, and more, you will build reporting and hone your project management skills to support infrastructure improvements. You will also learn how to critically assess problems and opportunities to improve bottom-line results.

Performance will be judged on the ability to solve problems, communicate, and assist internal clients and all other teams in Global PCG Marketing.

The Day-to-Day:

* Work with Marketing management to support all phases of Marketing efforts
* Build and maintain daily reporting for global Marketing teams
* Build and automate new and existing processes
* Understanding the "why" and "how" of department data flow
* Communicate clearly by distilling information down for a non-technical audience
* Provide data-driven analysis and insights to optimize campaign performance
* Collaborate with other analysts, Marketing managers, and database developers on both strategic initiatives and ongoing data infrastructure enhancement projects
* Manage ad-hoc data requests to help meet a variety of needs such as troubleshooting data oddities, QA'ing, modeling, and more

Your Qualifications:

* 2+ years Marketing Data Analytics experience
* Strong proficiency in SQL, Excel, PowerBI, and relational databases
* Attention to detail and a history of managing complexity
* Demonstrated leadership and self-direction; capacity for learning new skills and a willingness to share knowledge and teach others
* Ability to communicate both technical and non-technical insights to all levels of management
* Strong project management skills

Why Fisher Investments Europe:

The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians.

It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including:

* 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents
* 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays
* Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees
* $10,000* fertility, hormonal health and family-forming benefit
* A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions
* Gym subsidy of up to £50 per month
* Employee Assistance Program and other emotional wellbeing services
* A collaborative working environment that practises ongoing training, educational support and employee appreciation events
* This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.

*Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency.

FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER
Not Specified
Intern, Data & Analytics/Microsoft 365
✦ New
Salary not disclosed

Covenant Technology Partners is a US based Microsoft Partner, management and technology consulting and Managed Services firm specializing in helping our clients through innovative use of Microsoft technologies. Our team members grow in an energetic, team-oriented and entrepreneurial-minded firm with challenging consulting projects and Managed Services engagements. Covenant attracts highly qualified and diverse professionals nationwide with the right combination of business, technical and creative skills. Our consultants are motivated to make a personal impact on both the growth and success of the firm and their personal careers.

The Data & Analytics / Microsoft 365 Intern is a full-time, 12-week summer internship beginning in May and is structured as a dual-track experience. The intern’s time will be intentionally divided between:

  • Managed Services, supporting operational Microsoft environments
  • Data & AI Consulting, contributing to data analytics and applied AI initiatives

The program is designed to provide exposure to the full solution lifecycle—from operational support to solution delivery—while developing professional consulting skills, technical fundamentals, and business acumen.

The role emphasizes professional consulting skills, technical fundamentals, documentation, and continuous learning aligned with Covenant Technology Partners’ standards.

The work location for this role is flexible, but candidates based in St. Louis or near St. Louis may be better positioned for periodic in-person engagement.

Responsibilities:

Managed Services Rotation (Operational Experience)

  • Assist with ticket triage and support workflows under supervision
  • Support Microsoft 365 administration and governance activities (Teams, SharePoint, OneDrive, Exchange, Entra ID)
  • Update runbooks and standard operating procedures
  • Observe and document SLA, escalation, and operational processes
  • Contribute to process improvement initiatives

Data & AI Consulting Rotation (Solution Delivery Experience)

  • Assist with data preparation, basic data modeling, and reporting tasks
  • Support Power BI, automation, or analytics solution development
  • Contribute to applied AI or proof-of-concept initiatives under guidance
  • Develop professional documentation including solution notes, diagrams, and handoff materials

Professional Development

  • Engage in structured AI and Microsoft learning (2–3 hours per week)
  • Participate in mentor and manager check-ins
  • Attend internal enablement sessions and practice meetings
  • Deliver a final capstone presentation summarizing contributions, learning outcomes, and improvement recommendations

Qualifications:

Education, License or Certification:

  • Currently pursuing a Bachelor’s or a Master’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics or related field


Experience:

  • Foundational understanding of data concepts (tables, joins, relational structures)
  • Exposure to SQL, reporting tools (e.g., Power BI), Microsoft 365, or Azure is a plus
  • Strong written and verbal communication skills
  • Demonstrated interest in both technology operations and data-driven solution delivery

We foster diversity, in part, by imposing a strict policy of non-discrimination. Employment decisions are made without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, age, religion, disability, veteran or military status, genetic information or other status protected by the law.

We value the unique skills and experiences that veterans and separated service members bring to our workforce. While serving our country you have gained skills such as leadership, flexibility, and agility, which will help to make you successful here. We are dedicated to supporting military families and ensuring that we provide a welcoming environment for our country’s heroes. We hope you consider joining the Covenant family.

Covenant is committed to the full inclusion of all qualified individuals. As part of this commitment, Covenant will ensure that persons with disabilities are provided reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact

internship
Lead Data Warehouse Engineer
✦ New
Salary not disclosed
New York, NY 10 hours ago

Description

The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium ( ) funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model.


The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration.


Responsibilities

  • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
  • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility.
  • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
  • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
  • Mentor junior engineers in data warehousing, data engineering skills, and operational support.
  • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
  • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
  • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
  • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
  • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
  • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.
  • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
  • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
  • Identify improvements in procedures, technology, compliance, and data privacy/security.
  • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
  • Perform related duties as assigned.


Qualifications

  • Bachelor’s degree in a technical field; Master’s preferred.
  • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.


Preferred

  • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
  • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent.
  • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
  • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
  • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
  • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
  • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL.
  • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
  • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau.


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, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.


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.


Compensation


The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Not Specified
Staff Data Engineer ( Boston or Chicago )
✦ New
🏢 PG Forsta
Salary not disclosed
Chicago, IL 1 day ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

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