Technical/Data Analyst

Cloudious•Jersey City, NJ

17h•Onsite

About The Position

The Technical/Data Analyst for the People Domain Activation project will help the People Domain transition to an 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 data-quality standards are met, and support the development of People-related data products. The role bridges technical and business teams and helps ensure People data assets are effectively managed and used to support strategic initiatives and business performance.

Requirements

12+ years of experience with business analysis and Human Resource Advisory.
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 with data analysis tools and languages such as SQL, Excel, and Python.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written and verbal communication skills, including the ability to present complex data clearly.
Attention to detail and strong organizational skills.

Nice To Haves

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.
Experience with data visualization tools such as Tableau or Power BI.

Responsibilities

Lead the inventory of People domain data assets.
Collaborate with data architects and engineers to support 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 datasets 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 for analytics and reporting.
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 presentations and reports.
Collaborate with IT and business teams to define and implement data management best practices.
Seek opportunities to improve processes and increase efficiency through data-driven approaches.