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Jobs/Data Analyst Role/includedhealth - Sr. People Data Analyst
includedhealth

includedhealth - Sr. People Data Analyst

Remote3w ago
RemoteSeniorWWData AnalyticsSoftwareData AnalystPythonJavaScriptReportingWorkdaySQLGoogle SheetsAOVDocumentation

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Requirements

• Advanced proficiency in Workday Reporting, including: ○ Building and maintaining custom reports (advanced, matrix, composite), dashboards, and complex calculated fields.○ Configuring report scheduling and developing Workday Drive items.○ Self-service enablement and stakeholder testing.○ Broad working knowledge of Workday business objects, with the curiosity and ability to learn new ones as needed ○ Experience with Prism analytics is a plus. • Experience in Data Analytics, Industrial Organizational Psychology, HRIS management or other quantitative fields. • Proficient at connecting and analyzing data in systems with related data sources primarily via SQL. • Experience in data collection, cleaning, and management. • Advanced proficiency building clear, auditable, easy-to-use spreadsheets in software such as Google Sheets. • Skill in writing code that automates data tasks, such as Python or JavaScript. • Understanding of statistical concepts (correlation, regression, T-test, ANOVA), research methods and experimental design. • Skills in building and presenting data visualizations.

Responsibilities

• Serve as the team's primary Workday reporting subject matter expert - owning the development of custom reports, calculated fields, dashboards, and scheduling. • Enable cross-functional teams to access Workday data at an appropriate level of detail through scalable solutions. • Manage the People Analytics service desk, triaging and fulfilling data requests from across the organization while looking for ways to handle them more efficiently through self-service, AI, or automation. • Consult with department leaders to build and deliver data-driven recommendations. • Conduct statistical analyses combining several sources of data to gain insights on human capital such as retention metrics. • Ensure the proper maintenance and documentation of data sources, sensitive information, and processes.

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