Staff Data Analyst, People Analytics

Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or an equivalent combination of education and experience.

5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.

Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms eg Workday, ServiceNow, Greenhouse.

Strong programming skills using Python and/or R for statistical analysis, predictive modeling, and automation.

Experience applying advanced statistical methods, including regression, clustering, forecasting, text analytics, and sentiment analysis.

Experience working with large, complex datasets and applying sound data management and governance practices.

Strong analytical thinking and problem-solving skills with the ability to translate complex findings into clear business recommendations.

Excellent data visualization and storytelling skills tailored to technical and non-technical audiences.

Proven ability to collaborate effectively with cross-functional stakeholders and influence decisions through data.

Familiarity with Generative AI, Natural Language Processing (NLP), and emerging AI technologies applied to analytics is preferred.

Strong communication, collaboration, and project management skills with the ability to manage multiple priorities in a fast-paced environment.

Successful candidates will:

Deliver high-quality analytics that enable better workforce decisions.

Build scalable dashboards, predictive models, and AI-enabled insights that improve business outcomes.

Partner effectively across HR and business functions to solve complex workforce challenges.

Continuously identify opportunities to improve data quality, reporting, automation, and analytics capabilities.

Contribute to the ongoing evolution of People Analytics through innovation, technical expertise, and a strong customer-focused mindset.

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