Analytics Engineer

Greater Milwaukee area (hybrid 3 days/week onsite)

This role is designed as a modern hybrid data position that sits between traditional analytics, BI development, and engineering. Rather than hiring a narrowly scoped reporting analyst or narrow data engineer, we are adding a versatile utility player who can help move data from source to insight, supporting backend data operations, shaping analytics-ready models, and enabling high-value dashboards, reporting, and business intelligence across the firm.

The person in this role will partner closely with the existing BI Developer and Data Engineer to increase team throughput, improve scalability, and strengthen the foundation for current BI reporting, future AI & predictive analytics, and enterprise data initiatives. This is a strong opportunity for a high-upside mid-level experienced candidate who wants broader ownership, cross-functional exposure, and a clear path to grow with a scaling enterprise data organization.

This role is broader and more foundational than a traditional Data Analyst position. A traditional analyst often focuses primarily on report production, ad hoc analysis, dashboard consumption, and answering business questions using already-prepared data. This role goes further upstream and downstream: helping shape the data models, supporting pipeline and platform operations, improving data reliability, and building reusable analytics assets that make the entire organization more scalable.

It bridges analytics, engineering, and business enablement by combining technical execution with stakeholder-facing problem-solving.

• Build, maintain, and improve analytics-ready datasets, transformations, and data models that support reporting, dashboarding, and downstream analysis.
• Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem, including Azure Data Factory, Azure Functions, Azure, VS Code and others Microsoft workflows.
• Partner with the BI Developer to develop, enhance, and maintain Power BI dashboards, semantic models, recurring reporting, data export functions and self-service analytics assets.
• Work alongside the Data Engineer to troubleshoot data issues, improve data reliability, monitor pipeline health, and help scale core enterprise data architecture.
• Partner with the BI Lead to translate business requirements into clear technical requirements, data definitions, and implementation plans.
• Execute on approved requirements by building, testing, and refining data models, reporting solutions, and supporting workflows in partnership with the BI Lead.
• Contribute to data quality, governance, lineage, and documentation efforts that improve trust, auditability, and long-term maintainability of enterprise data assets.
• Support the evolution of our modern data platform, including cloud architecture, data organization standards, and scalable analytics practices.
• Identify opportunities to reduce manual work, improve throughput, and create reusable data products that accelerate business insight delivery.
• Help prepare the organization for more advanced analytics use cases by strengthening foundational data structures for AI, predictive analytics, and intelligent automation.
• Serve as a flexible, team-oriented utility player who can shift across analytics engineering, BI support, stakeholder problem-solving, and platform operations as priorities evolve.
• Identify gaps in data feeds and scope new sources to advance analytics capabilities.
• Recommend and implement enhancements that support the firm's strategic goals for data-driven decision-making.

• 3–6 years of experience in a data, BI, analytics, or…