Analytics Engineer, People Analytics

EquipmentShare is a company focused on transforming the construction industry through innovative technology. They are hiring an Analytics Engineer for People Analytics to build and maintain data pipelines and structures, partnering with various teams to manage data infrastructure and support 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:

• 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
• 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
• Knowledge of payroll and benefit modules preferred