Analytics Engineer

The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into the clean, well-modeled, business-ready datasets that power Tableau dashboards, executive decisions, and self-service analytics across Finance, Production, Supply Chain, and Engineering. Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the BI surface: staging models, intermediate logic, dimensional models, tests, and documentation. This is a hands-on individual contributor role with real ownership of production data models and a clear path into senior and principal analytics engineering as the team grows.

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience), with 4–6 years of experience in analytics engineering, data engineering, or BI development, including ownership of production data models  

• Strong SQL skills with experience in data transformation, complex querying, and performance optimization on large datasets  

• Hands-on experience with dbt, including incremental models, tests, macros, snapshots, and documentation  

• Experience working with Snowflake or a comparable cloud data warehouse, along with familiarity with ELT tools (e.g., Fivetran)  

• Solid understanding of dimensional modeling (grain, surrogate keys, slowly changing dimensions, star schemas)  

• Working knowledge of Python for data processing, scripting, or lightweight integrations  

• Familiarity with Tableau or similar BI tools, with an understanding of how data structure impacts performance  

• Experience with Git and modern development practices, including code reviews and CI/CD workflows  

• Strong communication skills, with the ability to translate technical concepts for business stakeholders and gather requirements effectively  

• A collaborative team player who is open to training, mentoring, and working closely with non-technical stakeholders 

• Self-motivated and able to work independently while collaborating across distributed teams  

• Experience leveraging AI coding assistants (e.g., Copilot, Claude) to support analytics engineering tasks such as SQL development, dbt modeling, testing, and documentation 

At IEM, you’ll join a team that powers some of the world’s most ambitious projects. We’re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you’re driven, collaborative, and ready to make an impact, we’d love to hear from you. Your creativity and passion can help us achieve great things—come be part of the journey.

Learn more about IEM at https://www.iemfg.com

We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers

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