Analytics Engineer, People Analytics

EquipmentShare is a company on a mission to transform the construction industry through innovative technology and real-time support. They are seeking an Analytics Engineer for their People Analytics team to build and maintain scalable data pipelines and support various HR and finance analytics initiatives.

Responsibilities:

• 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

Requirements:

• 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