Data Analyst

Job Description Insight Global 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 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.