Zinnia

Senior Data Analyst - HR Analytics

Zinnia

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $140,000 - $160,000 per year

Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryCloudPythonSQLTableau

About the role

  • Independently own and drive key analytics initiatives in Human Resources, identifying insights that drive talent strategy, compensation, and retention decisions
  • Move beyond basic dashboards; leverage inferential modeling, causal analysis, and experimental design to generate actionable insights; utilize AI as a force multiplier
  • Partner with data engineering to integrate systems and drive workflow automation across the HR platform
  • Develop frameworks to measure Retention, Employee Engagement, Revenue Per Employee, and other key HR metrics
  • Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools
  • Work closely with stakeholders across HR, Data Engineering, and Product to align analytics initiatives with business needs
  • Mentor junior analysts and promote data analysis best practices
  • Ensure HR data integrity, privacy, and compliance with global regulatory requirements (GDPR, etc.)

Requirements

  • 7+ years of experience in data analytics, with a focus on Human Resources, Business Strategy, or Process Optimization
  • Expertise in SQL and Python
  • Strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake)
  • Experience working with unstructured datasets
  • Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling
  • Experience in HR analytics (workforce efficiency, process optimization, compensation modeling, compliance analytics)
  • Hands-on experience with data visualization tools (Power BI, Tableau, Looker)
  • Ability to present insights effectively to leadership
  • Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations
  • Strong problem-solving skills and a proactive mindset
  • BONUS: Experience with ML/AI applications in HR (anomaly detection, predictive modeling, workforce automation)
  • BONUS: Familiarity with event-tracking frameworks and behavioral analytics
  • BONUS: Strong data storytelling skills
  • BONUS: Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics
  • BONUS: Knowledge of HRIS platforms, APIs, and data integrations
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