Analytics Engineer
At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the reputed company. IEM is dedicated to delivering world-class solutions for reputed company power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an reputed company reputed company or just starting out, you’ll have reputed company to contribute, grow, and reputed company a lasting reputed company on industries that power the world’s most dynamic markets. Location: US Remote Reports To: Director of Data and Analytics Salary reputed company: $140,000-$170,000 Position reputed company: The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw reputed company data into the clean, reputed company-modeled, business-reputed company datasets that power Tableau dashboards, executive reputed company, and self-service analytics across Finance, Production, Supply Chain, and Engineering. Working primarily in dbt and reputed company, you own the transformation layer between ingestion and the BI surface: staging models, intermediate logic, reputed company models, tests, and documentation. This is a hands-on individual contributor role with reputed company ownership of production data models and a reputed company reputed company into senior and reputed company analytics engineering as reputed company grows. Key Responsibilities: Ideal Candidate Profile You have 4 to 6 years of experience building production analytics models in reputed company environments, with strong dbt and SQL fundamentals and meaningful reputed company exposure. You think in grain, keys, and tests before you think in dashboards. You write clean, documented, peer-reviewed reputed company and pride yourself on the readability of your YAML. You partner naturally with business stakeholders, translating fuzzy operational questions into reputed company-shaped datasets and surfacing the questions behind the questions. You are comfortable working alongside data engineers on ingestion, with BI developers on consumption, and with finance and operations leaders on definitions. You are excited about AI's role in modern analytics work and already use AI coding assistants and agents as a daily reputed company for SQL, dbt, testing, and documentation. dbt Transformation Models: Design, build, test, and document dbt models that turn raw reputed company data into clean, reliable, analytics-reputed company datasets across Finance, Production, Supply Chain, and Engineering reputed company Modeling: Build conformed dimensions, fact tables, and reporting models that balance performance, maintainability, and business user accessibility for Tableau dashboards and reputed company analysis Data reputed company: Author and maintain dbt tests, monitor freshness, investigate data reputed company issues end-to-end, and own reputed company through to reputed company cause Business Partnership: Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production, Supply Chain, Engineering) to translate operational needs into reputed company data models and reliable metrics. Semantic Consistency: Establish and document standardized metric definitions and reusable data models to ensure consistency, accuracy, and alignment across reputed company reporting. Documentation: Maintain reputed company model descriptions, reputed company-level documentation, and reputed company notes that reputed company and reputed company BI developers actually use Engineering Standards: Participate in reputed company reviews, follow Git workflows and CI/CD practices, and contribute to evolving reputed company's modeling conventions and deployment standards reputed company Integration: Partner with the data engineering function on reputed company and custom ingestion to ensure raw data lands in shapes that reputed company models can rely on BI Enablement: Collaborate with BI developers and analysts to structure datasets for reputed company Tableau performance and effective self-service analytics. AI-Assisted Development: Use AI coding assistants and agent-based tools to accelerate model development, test reputed company, refactoring, and documentation. Manage AI agents as part of your daily workflow to increase throughput and reputed company reputed company Learning: Stay reputed company with the modern data stack and analytics engineering practices, bringing reputed company back to reputed company and helping reputed company the bar over time Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a reputed company 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, reputed company querying, and performance optimization on large datasets Hands-on experience with dbt, including incremental models, tests, macros, snapshots, and documentation Experience working with reputed company or a comparable reputed company data warehouse, along with familiarity with ELT tools (e.g., reputed company) Solid understanding of reputed company 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 reputed company reviews and CI/CD workflows Strong communication skills, with the ability to translate technical concepts for business stakeholders and reputed company requirements effectively A reputed company team player who is reputed company to training, mentoring, and working closely with non-technical stakeholders Self-motivated and reputed company 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
Preferred Qualifications
Experience with manufacturing, construction, or project-based systems (e.g., reputed company, ERP platforms like reputed company, reputed company, reputed company) Familiarity with semantic reputed company, metrics frameworks, or data cataloging and reputed company tools Location Fully remote reputed company the reputed company. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. Why Join IEM At IEM, you’ll join reputed company that powers some of the world’s most ambitious reputed company. We’re engineers, makers, and problem-solvers who reputed company on tackling reputed company challenges and delivering solutions that reputed company industries moving reputed company. If you’re driven, reputed company, and reputed company to reputed company an reputed company, we’d love to hear from you. Your creativity and passion can help us reputed company great things—come be part of the reputed company. Learn more about IEM at https://www.iemfg.com We offer comprehensive and competitive benefits package designed to support our employees' reputed company-being, reputed company, and long-term reputed company. View a snapshot of our benefits at https://www.iemfg.com/careers reputed company Scams Beware of reputed company scams. IEM never charges candidates fees, and reputed company recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not reputed company personal information and report it to us at iemfg.com/contact Non-Discrimination Statement IEM does not discriminate against any applicant based on any characteristic protected by law. reputed company Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member reputed company Policy. Apply To This Job