People Data Analyst

National Debt Relief, LLC.
1d$82,500 - $95,000Remote

About The Position

The People Data Analyst plays a critical role in enabling data-informed decision-making across the People Team by transforming data from the enterprise data warehouse into clear, reliable, and trusted analytics assets. While this role sits within Engagement, it supports all People functions, including Benefits & Wellness, Engagement, Learning & Development, Payroll & Compensation, People Experience, and Talent Acquisition. This role focuses on analytics execution: querying People data using SQL, building dashboards and reporting assets, ensuring metric accuracy, and maintaining high data quality standards. The People Data Analyst does not own data pipelines or system integrations. Instead, they partner closely with the People Data & Analytics Partner and the enterprise Data Analytics & AI team to ensure People data is usable, consistent, and aligned to enterprise standards. The success of this role is measured by how confidently People leaders and analytics partners can rely on dashboards and reports to make decisions.

Requirements

  • Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field.
  • 3 years of experience in analytics, business intelligence, or people analytics.
  • Hands-on experience building dashboards in Power BI or Tableau (Sigma Computing experience preferred).
  • Experience working with data warehouses (e.g., Snowflake, Redshift, or similar).
  • Experience working with People systems such as HRIS, ATS, LMS, or payroll platforms (Dayforce experience preferred).
  • Strong SQL skills required and demonstrated experience querying data from a data warehouse.
  • Advanced Excel skills for data validation, reconciliation, and operational analysis.
  • High attention to detail and a strong commitment to data accuracy and reliability.
  • Ability to work effectively with both technical teams and People stakeholders.
  • Computer competency and ability to work with a computer.
  • Prioritize multiple tasks and projects simultaneously.
  • Exceptional written and verbal communication skills.
  • Punctuality expected, ready to report to work on a consistent basis.
  • Attain and maintain high performance expectations on a monthly basis.
  • Work in a fast-paced, high-volume setting.
  • Use and navigate multiple computer systems with exceptional multi-tasking skills.
  • Remain calm and professional during difficult discussions.
  • Take constructive feedback.

Nice To Haves

  • Sigma Computing experience preferred.
  • Dayforce experience preferred

Responsibilities

  • Develop, maintain, and optimize dashboards and standardized reports that serve as trusted sources of truth for People analytics.
  • Use SQL to query data from the enterprise data warehouse and create well-structured datasets, views, and reporting tables.
  • Build dashboards in BI platforms such as Power BI or Tableau (Sigma Computing preferred).
  • Ensure dashboards are accurate, performant, clearly labeled, and aligned to agreed-upon metric definitions.
  • Maintain clear documentation for dashboards, calculations, and data logic to support long-term usability and consistency.
  • Perform regular data validation, reconciliation, and audits to ensure accuracy and consistency across People reporting.
  • Partner with the People Data & Analytics Partner to implement and maintain standardized metric definitions and reporting logic.
  • Identify data quality issues, document findings, and collaborate with Data Engineering or system owners when upstream fixes are needed.
  • Support data governance, privacy, and security requirements related to employee data.
  • Partner with People Team stakeholders to understand reporting needs and translate them into scalable analytics solutions.
  • Enable analytics and insight work by providing clean, reliable, and well-documented data assets.
  • Balance multiple reporting requests while maintaining quality, consistency, and prioritization standards.
  • Collaborate with the enterprise Data Analytics & AI team to align reporting approaches with broader analytics best practices.

Benefits

  • Generous Medical, Dental, and Vision Benefits
  • 401(k) with Company Match
  • Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
  • 12 weeks Paid Parental Leave
  • Pre-tax Transit Benefits
  • No-Cost Life Insurance Benefits
  • Voluntary Benefits Options
  • ASPCA Pet Health Insurance Discount
  • Access to your earned wages at any time before payday
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