Hybrid NJ – HR Data Analyst / People Analytics (with MS Purview)

Send resumes at – malikmayank29@gmail.com

Rate: $42/hour C2C

Position: HR Data Analyst / People Analytics (with MS Purview)

Location: Hybrid – Newark, NJ

Interview: Virtual

Contract: 6+ months Contract

Exp: 5+ years

Visa: Any

LinkedIn of consultant required

Excellent Communication 

JOB DESCRIPTION:

Must Haves:

Deep understanding of HR and People data, processes, and architecture.
Knowledge of PI and PHI handling
Exposure to DM&G standards and enterprise operating models
Strong experience in data analysis tooling and languages- SQL. Excel, Python
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong analytical, problem-solving, and critical thinking skills.
Working knowledge of Microsoft Purview- including data catalog and lineage capabilities.
Experience in the HR domain or insurance industry.
Familiarity with cloud-based data lake/hub concepts and database management systems.
Experience working in Agile or cross-functional teams.
 

Key Responsibilities:

Own and manage the inventory and quality of People domain data assets.
Partner with data architects, engineers, and business teams to design data models and implement data management best practices.
Translate business requirements into user stories, acceptance criteria, and data mapping for activation and analytics use cases.
Analyze large, multi‑source datasets to identify trends, insights, and support strategic business cases.
Leverage Microsoft Purview to identify trusted datasets, manage lineage, assess data health, and understand downstream impact.
Communicate insights and recommendations through clear reporting, presentations, and ongoing process improvements.
 

Day to Day:

Client is hiring a level four data analyst for the people domain activation project for one of their largest clients in the financial industry. The ideal candidate will play a critical role in enabling the people domain to successfully transition into the enterprise Data-as-a-Product operating model. The analyst will partner 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.