Specialist, HR Data, Analytics & Insights

City:
New York

• Collect and analyze HR data from various sources, including HRIS, employee surveys, performance systems, and other relevant platforms.
• Clean, transform, and validate system data to ensure accuracy, consistency, and integrity across all HR data sets.
• Use quantitative analysis techniques to identify trends, correlations, and insights related to HR metrics and KPIs.
• Conduct statistical analyses and predictive modeling to support HR initiatives and identify emerging risks or opportunities.
• Provide data-driven insights and recommendations to support strategic decision‑making and guide HR programs.

• Develop, maintain, and optimize HR dashboards, reports, and visualizations that effectively communicate findings to HR and business stakeholders.
• Collaborate with HR leaders to understand reporting needs and deliver customized analytics solutions.
• Train and support HR team members on analytics tools, dashboards, and reporting best practices.

• Monitor HR data quality, identify anomalies and outliers, and take appropriate corrective actions.
• Ensure all HR data is handled in accordance with data privacy, confidentiality, and compliance requirements.
• Support HR data needs for regulatory reporting, audits, and compliance activities.

• Support and monitor HR data integrations between HRIS, payroll, talent systems, and external vendor platforms to ensure accurate and timely data flows.
• Troubleshoot integration issues such as data mismatches, failed syncs, or errors, partnering with HRIS, IT, and vendors to resolve root causes.
• Validate, reconcile, and document integrated data sets to maintain consistency across systems and downstream dashboards.
• Participate in integration testing and data‑mapping exercises for system enhancements or new implementations.
• Leverage integration logs and monitoring tools to proactively identify issues and ensure data pipeline reliability.
• Educate HR stakeholders on how data integrations impact reporting, timing, field definitions, and data availability.
• Contribute to HR system implementations, analytics initiatives, automation efforts, and process improvement projects.
• Identify opportunities to streamline data processes, automate recurring analyses, and enhance analytics capabilities across HR.
• Stay current with HR trends, benchmarks, tools, and best practices in HR analytics and workforce intelligence.

• 3-5 years of experience as an HR Data Analyst, People Analytics Specialist, or similar role involving complex HR data sets.
• Strong understanding of HR processes, metrics, KPIs, and their application in workforce insights.
• Proficiency with data analysis tools and languages, such as Excel, SQL, Python, or R.
• Experience using data visualization platforms like Power BI, Tableau, or similar tools to build dashboards and reports.
• Familiarity with HRIS systems, including understanding of data structures, data extraction, and data governance concepts.
• Knowledge of statistical analysis techniques, including correlation, regression, forecasting, and predictive modeling.
• Experience validating, reconciling, or troubleshooting integrated data sets across multiple HR systems (e.g., HRIS + payroll + talent platforms).
• Excellent attention to detail, data accuracy, and documentation practices.
• Strong written and verbal communication skills, with the ability to translate complex data into clear stories, insights, and recommendations for non‑technical audiences.
• Strong organizational skills and the ability to manage multiple priorities in a fast‑paced environment.
• Demonstrated ability to work both independently and collaboratively with cross‑functional teams.
• A continuous learning mindset and interest in staying current with analytics tools, HR tech trends, and best practices.

• Dare! We offer robust compensation package including base and bonus, a 401(k) plan to help you secure your financial future.
• We Care! Pandora offers extensive benefits including:
  Medical, Dental, Vision, Short/Long Term Disability,…