Technical/Data Analyst - People Domain
Technology
Job Description
Technical/Data Analyst – People Domain
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Job Details
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- 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
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About the Role
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- 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
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Key Responsibilities
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- 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
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Required Qualifications
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- 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
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Preferred Qualifications
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- 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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