The Clorox Company

People Analytics Engineer

The Clorox Company

full-time

Posted on:

Location Type: Remote

Location: Remote • North Carolina • 🇺🇸 United States

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Salary

💰 $72,400 - $132,500 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Design and develop advanced dashboards and reports to visualize people metrics, workforce trends, and predictive analytics.
  • Build and maintain robust data models, ensuring accuracy, consistency, and usability across all analytics solutions.
  • Integrate and manage data pipelines from multiple sources (HRIS, ATS, engagement platforms, etc.) to deliver timely and reliable insights.
  • Collaborate with cross-functional stakeholders to translate complex business questions into clear, data-driven solutions.
  • Provide actionable insights on workforce planning, talent acquisition, retention, and diversity to inform strategic initiatives.
  • Implement and uphold data governance standards, including security roles and compliance protocols, to maintain data integrity and confidentiality.

Requirements

  • 3+ years in BI development, preferably in HR or People function
  • Bachelor's degree is preferred or equivalent job experience
  • Expertise in SQL
  • comfortable with at least one programming language (e.g. Python, R, etc)
  • Experience using a data warehouse (Snowflake or Databricks preferred)
  • Proven experience with Dashboard (Power BI experience is required)
  • Familiarity with HR systems (Workday, SAP SuccessFactor, etc.) is a plus
  • Knowledge of data governance and security best practices
  • Strong analytical thinking and problem-solving ability
  • Excellent communication skills to explain technical concepts to non-technical stakeholders.
Benefits
  • robust health plans
  • market-leading 401(k) program with a company match
  • flexible time off benefits (including half-day summer Fridays depending on location)
  • inclusive fertility/adoption benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
BI developmentSQLPythonRdata warehouseSnowflakeDatabricksDashboardPower BIdata governance
Soft skills
analytical thinkingproblem-solvingcommunication