Job Description

Technical/Data Analyst – People Domain

Job Details

• Employment Type: Contract
• Location: Hybrid – 3 days/week onsite in Newark, NJ
• Client: Major Financial Firm
• Pay Rate: $65 – $80 per hour
• C2C and W2 are acceptable

About the Role

• Support the People Domain Activation project as it transitions to an enterprise Data-as-a-Product operating model
• Partner with Domain Owners, Stewards, Data Engineering, and cross-functional business teams
• Define domain scope, document data assets, and elicit requirements
• Ensure metadata and quality standards are met while supporting the build-out of People-related data products

Key Responsibilities

• Lead the inventory of People domain data assets
• Collaborate with data architects and engineers on 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
• Use Microsoft Purview (Unified Catalog and data lineage) to identify trusted datasets, assess data health, and evaluate downstream impact
• Gather requirements from business users and translate them into data analysis and reporting solutions
• Support business cases and strategic initiatives with quantitative analysis
• Present findings and recommendations to stakeholders through clear, concise presentations and reports
• Partner with IT and business teams to define and implement data management best practices
• Continuously improve processes and 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
• Proficiency in data analysis tools and languages (SQL, Excel, Python)
• Experience with data visualization tools (Tableau, Power BI)
• Strong analytical, problem-solving, and critical thinking skills
• Excellent written and verbal communication skills, with the ability to present complex data clearly
• Strong attention to detail and organizational skills

Preferred Qualifications

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

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