HRIS Data & Analytics Manager
Listed on 2026-11-01
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence
new york city, ny
iterative health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.
we built a leading performance-driven network of 100+ sites across the us, europe, india, and australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge ai, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need.
Today, iterative health is headquartered in cambridge, massachusetts, and new york city with 250+ employees world-wide.
the hris & people analytics contractor will partner closely with the head of people operations team to improve the accuracy, consistency, and usability of employee data across our hr systems. This individual will take ownership of data cleanup and reconciliation efforts, establishing bamboohr as our primary source of truth for employee data, and develop reliable reporting and analytics to support business decisions.
in addition to hris data management and analytics, the consultant will support upcoming system and process enhancements, including preparation for 2027 organizational enhancements in payroll, job architecture, and improvements to preboarding and onboarding workflows and moving to a new hcm.
this is a hands-on, project-based engagement for someone who can independently assess existing systems, identify gaps, execute solutions, and recommend improvements. The ideal candidate combines strong hris expertise with analytical capabilities, technical proficiency, and a process-oriented mindset.
hours: 20–30 hours per week - 2-3 months project
hourly rate: $75–$95 per hour
location: remote
hris data integrity & governance
- audit, clean, standardize, and reconcile current and former employee data across existing hris platforms and related systems.
- establish a primary source of truth for employee data, ensuring records are accurate, complete, consistent, and structured to support current reporting needs and future system migration.
- identify and resolve discrepancies, duplicate records, missing information, and inconsistencies across hris, payroll, and recruiting systems.
- standardize employee records, including job titles, departments, locations, reporting relationships, employment classifications, and other key data fields.
- review and clean up termination reasons, employee change reasons, and other historical data used for workforce reporting and analytics.
- establish data validation practices, documentation, and repeatable processes to maintain data integrity over time.
- document data issues, remediation efforts, system dependencies, and recommendations for ongoing data governance.
- develop and enhance reporting dashboards and standardized reports using hris and ats data.
- partner with the people team to understand current and anticipated reporting needs and translate them into practical, actionable dashboards.
- develop reporting capabilities for key workforce metrics, including headcount, employee movement, turnover, recruiting activity, time to fill, and other people kpis.
- automate recurring reports and reduce manual data extraction, spreadsheet manipulation, and cross-system reconciliation wherever feasible.
- experience leveraging ai tools to streamline hris data cleanup and analytics, automate reporting, identify data discrepancies, and improve people analytics workflows and operational efficiency.
- support additional people team projects and operational priorities as needed during the engagement.
- identify opportunities to…
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