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Hr Analytics Engineer Jobs

3 jobs found

10d ago

Data Engineer - People Analytics

CVS Health Raleigh, NC

Raleigh, NC

10d ago

$83k - $222k/yr Full time Manager Analytics Automation Developer

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Job Description

CVS Health is seeking a Data Engineer for People Analytics to join the People Analytics Data Engineering team. In this onsite role based in Raleigh, North Carolina, you will build and operate data warehouse modeling, data pipelines, and analytics foundations that support People and Workforce analytics in cloud data platforms.

This position focuses on integrating HR data from multiple enterprise systems, ensuring reliable and governed data for analysis, and partnering with People Analytics and HR stakeholders to streamline data requests and support strategic decision-making.

Role Overview

Own data warehouse modeling, data pipelines, and analytics enablement for People and Workforce analytics.
Build and manage ETL and data workflow processes that integrate HR data from systems such as Workday, talent management, payroll, and other sources.
Develop reproducible workflows to support efficient reporting in R, Python, and other analytics tools.

Responsibilities

Design, build, and manage robust data pipelines and ETL processes that integrate HR data from Workday and other data sources.
Optimize data workflows to support data accuracy, quality, and availability for People Analytics and HR and business stakeholders.
Oversee a team of data engineers, providing mentorship and guidance on best practices in data engineering, version control, and coding standards.
Collaborate with People Analytics to structure data for analysis, develop data models, and create reproducible workflows for reporting.
Ensure data governance and security protocols are followed in line with company policies and industry regulations, with focus on HR data confidentiality and compliance.
Partner with HR leaders, IT, and People Analytics to understand business requirements, streamline data requests, and deliver insights.

Required Qualifications

3+ years experience in Data Engineering.
3+ years experience with ETL/ELT processes and tools.
3+ years experience with SQL and relational databases.
2+ years experience programming in Python for data manipulation, automation, and analysis.
3+ years experience with cloud platforms, prefer GCP (may consider Azure or AWS).
2+ years experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
2+ years experience with scheduling tools such as Airflow or Composer.
Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.

Technologies

Workday, ETL, ELT, SQL, Python, R, GCP, Azure, AWS, Snowflake, Redshift, BigQuery, Airflow, Composer
PowerBI, Tableau, Oracle BI, Visier

Benefits

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources (based on eligibility)
Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above

Additional Details

Location: Raleigh, NC (onsite)
Employment type: Full time
Weekly hours: 40
Anticipated application window closing: 10/22/2026

Pay Range

USD 83,430 - 222,480 per yearly

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1mo ago

Senior Data Engineer

Advanced Micro Devices, Inc Austin, TX

Austin, TX

1mo ago Closed

Full time Senior Analytics Azure Data Engineer

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

Advanced Micro Devices (AMD) is hiring a Senior Data Engineer for the People Analytics team to extend and operate a modern HR data platform built on Microsoft Fabric.

Responsibilities

Own and extend the dbt Fabric transformation layer and medallion architecture models supporting the daily employee spine, dimensions, natural keys, grains, join patterns, and a row-level security model
Develop maintainable SQL with strong performance and testability, applying patterns such as window functions, incremental loading, and slowly changing dimensions while avoiding unnecessary platform-specific logic
Build and maintain automated data quality checks, validation controls, and an evaluation framework to measure accuracy and surface issues before they impact stakeholders, including components related to the analytics assistant
Maintain and improve Bronze-layer ingestion from HRIS source systems into Azure storage and the data warehouse using Python and PySpark notebooks
Contribute to the Power BI semantic layer, including TMDL-defined models, DAX measures, and row-level security
Document data rules, models, lineage, operating procedures, and platform knowledge for shared ownership and effective knowledge transfer
Work in Git and Azure DevOps workflows with CI/CD and SOX-style controls, including pull request-based promotion with separation of author, approver, and deployer responsibilities
Partner with the platform architect and HR stakeholders to independently operate and extend core data models and support reliable day-to-day pipeline performance

Requirements

Strong SQL experience, including window functions, incremental loading, slowly changing dimensions, and query performance tuning
Production experience with dbt including models, tests, macros, and seeds, plus demonstrated focus on data quality and testing
Proficiency in Python and hands-on experience with PySpark using large datasets
Hands-on experience with a cloud lakehouse or data platform; Microsoft Fabric preferred, with Databricks, Synapse, or Snowflake valued
Git-based development with CI/CD and controlled deployment workflows; Azure DevOps preferred
Experience with Power BI semantic modeling including TMDL, DAX, and row-level security
Knowledge of HR, SuccessFactors, people analytics, or workforce data is highly desired
Experience with AI-assisted development or LLM-based data tools such as MCP or natural language-to-SQL is preferred
Experience with ServiceNow data, Snowflake, or related data integrations is desired

Technologies

Microsoft Fabric, dbt, SQL, Power BI, TMDL, DAX, Git, Azure DevOps, CI/CD, SOX-style controls
Python, PySpark, Azure storage, Azure
Window functions, incremental loading, slowly changing dimensions
ServiceNow, Snowflake, Databricks, Synapse
LLM-based data tools, MCP, natural language-to-SQL
SuccessFactors, People Analytics

Education & Certifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field preferred
Relevant certifications in Microsoft Fabric, Azure, Power BI, dbt, Snowflake, or cloud data engineering desired

Location: Austin, TX (hybrid)

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4mo ago

Data Analytics Engineer III

Deloitte Arlington, VA

Arlington, VA

4mo ago Closed

Contract Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Data Analytics Engineer III role at Deloitte (Government & Public Services) is a contract position based onsite in Arlington, VA, focused on talent management and workforce data.

Responsibilities

Compile, analyze, and report data to address complex ad hoc inquiries related to talent management and workforce dynamics, delivering actionable insights for stakeholders.
Develop executive-ready visualizations and PowerPoint presentations to clearly communicate findings and recommendations at the leadership level.
Support data development, collection, analysis, and reporting processes for Deloitte and client teams using databases, spreadsheets, and structured relational queries (SQL).
Collaborate with federal government product owners to elicit, refine, and prioritize technical requirements for web based applications and tools.
Create test scripts and facilitate user acceptance testing to validate functionality, usability, and alignment with business requirements.
Contribute to data driven decision making by ensuring accuracy, quality, and clear interpretation of workforce and talent management information.

Requirements

7+ years of experience in data analytics.
1+ years of hands-on experience with Excel.
Active TS/SCI clearance with Polygraph required.
Bachelor's degree.
Ability to be on-site 100% of the time in Washington, DC.
Legally authorized to work in the United States without the need for employer sponsorship, now or in the future.

Technologies

PowerPoint
Excel

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