Sr Workforce Data Analyst

Sr. Workforce Data Analyst

Core Responsibilities

• Data Analysis and Insights:

• Serve as a

  Subject Matter Expert (SME)

  for HR data, systems, and reporting structure.
• Translate business and HR questions into data hypotheses and insights.
• Conduct analysis and modeling to extract insights across the entire employee lifecycle, from hiring and engagement to performance and attrition.
• Analyze data from multiple sources, including

  Workday, Power BI, survey tools

  , and

  Excel

  , to identify trends and opportunities.

• Reporting and Automation:

• Build, maintain, and automate dashboards and recurring reports using tools like

  Power BI, Workday

  , and

  Excel

  .
• Support HR initiatives such as performance management, talent reviews, and engagement surveys with timely reporting and insight generation.
• Respond to data requests from key stakeholders, developing reporting tools and implementing processes to help the HR team access and use data effectively.

• Collaboration and Communication:

• Collaborate with global

  HRBPs, COEs

  , and

  IT partners

  to ensure high-quality data delivery and usability.
• Support

  Business Development (BD)

  and Proposals by providing workforce data insights that inform pricing, staffing models, and client expectations.
• Work collaboratively with teammates to share knowledge, problem-solve, and deliver best-in-class analytics support.

• Data Governance and Process Improvement:

• Maintain and enhance internal documentation and data dictionaries to improve transparency and consistency.
• Support efforts to streamline reporting processes, improve self-service capabilities, and increase overall data fluency within HR.

Qualifications

• A Bachelor's degree in

  Data Science, Information Management, Computer Science, Math/Statistics

  , or a related field; an advanced degree is a plus.
• Professional experience in an

  HR analytics or reporting role

  , ideally in a global or matrixed environment.
• Proficiency in

  Power BI

  and

  advanced Excel

  (macros, pivot tables, formulas); familiarity with Workday reporting is strongly preferred.
• Experience with

  data storytelling

  and the ability to translate complex findings into simple insights.
• Strong knowledge of

  statistical analysis and research methods

  (e.g., regressions, t-tests, correlation).
• Demonstrated ability to manage multiple projects, balance priorities, and meet deadlines.
• Strong written and verbal communication skills; comfortable working effectively with both technical and non-technical audiences.
• A collaborative and proactive self-starter who is comfortable navigating ambiguity and can drive projects to completion with minimal guidance.
• Experience working with cross-functional teams or in shared services is preferred.