People Data Analyst - Hybrid NJ | Activate Data as a Product

Spectraforce Technologies; Newark (NJ); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Spectraforce Technologies in Newark, NJ is seeking a Data Analyst to support the People Domain Activation project in a hybrid setting (3 days onsite per week). 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, and help build data products.

The role requires a strong HR data background, knowledge of PI/PHI handling, and proficiency with

Qualifications

• Strong HR data domain knowledge.
• Experience with HR processes and architecture.
• Knowledge of PI/PHI handling.
• Proficient with SQL/Excel/Python.
• Experience with Tableau or Power BI.

Responsibilities

• Lead the inventory of People domain data assets.
• Develop data models with architects and engineers.
• Define quality rules and issue workflows.
• Translate requirements into user stories and data mappings.
• Analyze large data sets to identify trends and insights.
• Use Purview for data catalog and lineage assessment.
• Collaborate with business users to gather requirements.
• Support business cases with quantitative analysis.
• Present findings to stakeholders with clear reports.
• Collaborate to implement data management best practices.
• Seek opportunities to improve processes through data-driven methods.

Skills

HR data

HR processes

Analytical thinking

Communication

Tools

SQL

Excel

Python

Tableau

Power BI

Job description

Spectraforce Technologies in Newark, NJ is seeking a Data Analyst to support the People Domain Activation project in a hybrid setting (3 days onsite per week). 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, and help build data products.

The role requires a strong HR data background, knowledge of PI/PHI handling, and proficiency with