Analytics Engineer

Industrial Manufacturing

Analytics Engineer at IEM responsible for transforming raw data into clean, business-ready datasets for analytics and decision-making. Collaborating with cross-functional teams in a fully remote role.

Posted 5/13/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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.
Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production, Supply Chain, Engineering) to translate operational needs into scalable data models and reliable metrics.
Author and maintain dbt tests, monitor freshness, investigate data quality issues end-to-end, and own resolution through to root cause.
Design, build, test, and document dbt models that turn raw Snowflake data into clean, reliable, analytics-ready datasets across Finance, Production, Supply Chain, and Engineering.
Build conformed dimensions, fact tables, and reporting models that balance performance, maintainability, and business user accessibility for Tableau dashboards and ad-hoc analysis.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience)
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.

Benefits

Comp & perks

Comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success.

ATS Keywords

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Hard Skills & Tools

SQLdbtSnowflakePythondimensional modelingdata transformationperformance optimizationdata qualityGitCI/CD

Soft Skills

communicationcollaborationmentoringself-motivationproblem-solvingstakeholder engagementrequirement gatheringteam playerindependenceadaptability

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in Data ScienceBachelor's degree in Engineering