Contract position with a major financial firm.
Hybrid, 3 days/week in Newark, NJ.
Description: 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.
payrate 65 - 80 per hour depending on experience.
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