HR Data Analyst

Indent : SF_OP_208618-1

Role : HR Data Analyst

Location : Newark City NJ (Hybrid)

Rate: $65

Job Summary:

Technical/Data Analyst for the People Domain Activation project plays a critical role in enabling the People Domain to successfully transition into the enterprise Data-as-a-Product operating model. The analyst partners with Domain Owners, Stewards, Data Engineering, and cross-functional business teams to define domain scope, document data assets, elicit requirements, ensure metadata and quality standards are met, and support the build-out of People-related data products.

Key Responsibilities:

• Lead the inventory of People domain data assets.
• Collaborate with data architects and engineers to support creation of conceptual, logical, and physical data models for People data.
• Define quality rules, validations, and issue-management workflows for People domain assets.
• Translate business requirements into user stories, acceptance criteria, and data mapping specifications for activation sprints.
• Collect, analyze, and interpret large data sets from multiple sources to identify trends, patterns, and actionable insights.
• Leverage Microsoft Purview (Unified Catalog and data lineage) to identify trusted datasets, assess data health, and evaluate downstream impact for analytics and reporting.
• Work with business users to gather requirements and translate them into data analysis and reporting solutions.
• Support the development of business cases and strategic initiatives with quantitative analysis.
• Present findings and recommendations to stakeholders through clear and concise presentations and reports.
• Collaborate with IT and business teams to define and implement data management best practices.
• Continuously seek opportunities to improve processes and increase efficiency through data-driven approaches.

Required Qualifications:

• Strong understanding of HR/People data
• Deep understanding of People/HR processes and architecture
• Knowledge of PI/PHI handling
• Exposure to DM&G standards and enterprise operating models
• Proficient in data analysis tools and languages (e.g., SQL, Excel, Python).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to present complex data in a clear manner.
• Attention to detail and strong organizational skills.

Preferred Qualifications:

• Experience in the HR domain or insurance industry.
• Working knowledge of Microsoft Purview, including data catalog and lineage capabilities, is a strong value add.
• Familiarity with cloud-based data lake/hub concepts and database management systems.
• Experience working in Agile or cross-functional teams.