Technical/Data Analyst - People Domain

Technical/Data Analyst – People DomainDo you have the right skills and experience for this role Read on to find out, and make your application.Job DetailsEmployment Type: ContractLocation: Hybrid – 3 days/week onsite in Newark, NJClient: Major Financial FirmPay Rate: $65 – $80 per hourC2C and W2 are acceptableAbout the RoleSupport the People Domain Activation project as it transitions to an enterprise Data-as-a-Product operating modelPartner with Domain Owners, Stewards, Data Engineering, and cross-functional business teamsDefine domain scope, document data assets, and elicit requirementsEnsure metadata and quality standards are met while supporting the build-out of People-related data productsKey ResponsibilitiesLead the inventory of People domain data assetsCollaborate with data architects and engineers on conceptual, logical, and physical data models for People dataDefine quality rules, validations, and issue-management workflows for People domain assetsTranslate business requirements into user stories, acceptance criteria, and data mapping specifications for activation sprintsCollect, analyze, and interpret large data sets from multiple sources to identify trends, patterns, and actionable insightsUse Microsoft Purview (Unified Catalog and data lineage) to identify trusted datasets, assess data health, and evaluate downstream impactGather requirements from business users and translate them into data analysis and reporting solutionsSupport business cases and strategic initiatives with quantitative analysisPresent findings and recommendations to stakeholders through clear, concise presentations and reportsPartner with IT and business teams to define and implement data management best practicesContinuously improve processes and efficiency through data-driven approachesRequired QualificationsStrong understanding of HR/People dataDeep understanding of People/HR processes and architectureKnowledge of PI/PHI handlingExposure to DM&G standards and enterprise operating modelsProficiency xhyhwjd in data analysis tools and languages (SQL, Excel, Python)Experience with data visualization tools (Tableau, Power BI)Strong analytical, problem-solving, and critical thinking skillsExcellent written and verbal communication skills, with the ability to present complex data clearlyStrong attention to detail and organizational skillsPreferred QualificationsExperience in the HR domain or insurance industryWorking knowledge of Microsoft Purview, including data catalog and lineage capabilitiesFamiliarity with cloud-based data lake/hub concepts and database management systemsExperience working in Agile or cross-functional teams