Analytics Engineer, People Analytics

EquipmentShare-posted 2 days ago
Full-time • Mid Level
Remote • St. Louis, MO
5,001-10,000 employees
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Build the Future with Us — EquipmentShare is Hiring a Analytics Engineer, People Analytics At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before . We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a Analytics Engineer, People Analytics for our Corporate HQ in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. This position is fully remote. Serve as the point person for building and maintaining scalable data pipelines and data structures to support EquipmentShare’s People Analytics initiatives. Partners with HR, Finance, and the People Analytics team to manage data infrastructure and ETL processes efficiently, while contributing to internal tooling, automation, and AI/LLM initiatives.

  • Develop SQL and Python pipelines extracting and transforming data from Workday, LMS, Qualtrics, and email inboxes via Fivetran.
  • Maintain Snowflake/dbt data models, views, tasks, and transformations.
  • Monitor pipelines, implement automated testing, and proactively resolve data quality or workflow issues.
  • Build dashboards and analytics solutions using internal tools (e.g., Looker).
  • Codify business rules into models, transformations, and automated testing frameworks.
  • Support day-to-day reporting and analytics, reducing complexity in accessing and querying cross-functional data.
  • Build and maintain scalable data pipelines and data structures to support People Analytics initiatives.
  • Partner with Payroll, HR, Finance, IT, and other analytics teams to deliver structured, secure, and reliable data solutions.
  • Contribute to internal tooling, automation, and AI/LLM-driven projects, such as chatbots and workflow automation.
  • Establish execution plans from start to finish for data initiatives and ensure successful implementation.
  • Take strong ownership of data quality, integrity, and operational reliability across analytics pipelines.
  • Desire to thrive in a fast-paced environment and strong ability to adapt as priorities, timelines, and project scope shift.
  • Strong verbal and written communication skills
  • Ability to work without constant supervision and is a self starter
  • Ability to work quickly and think logically, especially under pressure
  • Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle
  • Sound communication skills and the ability to influence and manage cross-functional stakeholders.
  • Detail oriented, but able to pivot and re-prioritize efforts as required.
  • Ability to use diplomacy and tact when handling problems
  • Ability to be flexible and adapt to change in a positive manner
  • Bachelor’s degree in data analytics, data science, statistics, information technology, or a related field.
  • At least 4 years of SQL experience, creating complex queries and scalable ETL solutions.
  • At least 3 years of Python experience, building and automating data pipelines and processes.
  • At least 2 years of experience in data modeling, including building production-ready data structures and transformations.
  • Experience with Snowflake, dbt, or similar data warehousing and modeling platforms.
  • Experience developing test automation and workflow orchestration using tools such as Airflow, Dagster, GitLab CI/CD, or Jenkins.
  • Experience reporting and querying cross-functional HR, People Analytics, or operational data.
  • Experience with Git for version control and collaborative development.
  • Familiarity with cloud environments (AWS preferred) and modern data engineering tools, operating in a managed DevOps framework with primary responsibility for the application and data layer.
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift 10 pounds at times
  • Knowledge of payroll and benefit modules preferred.
  • Competitive compensation
  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO + paid holidays
  • 401(k) + company match
  • Gym membership stipend + wellness programs (earn PTO and prizes!)
  • Company events, food truck nights, and monthly team dinners
  • 16 hours of paid volunteer time per year — give back to the community you call home
  • Career advancement, leadership training, and professional development opportunities
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