Principal Analytics Engineer

Full-time - Mid Level

Milwaukee, WI

Machinery Manufacturing

About the position

As a Lead Analytics Engineer, you will play a critical role in designing, developing, and optimizing scalable data solutions to drive business intelligence, advanced analytics, and decision-making. You will bridge the gap between data engineering and business intelligence, ensuring data is well-modeled, performant, and accessible for analytics, reporting, and AI/ML initiatives. You will be self-motivated, innovative, and a strong collaborator, working with technical and business stakeholders to translate business needs into high-impact analytical solutions.

Responsibilities

• Design, develop, and optimize data models, pipelines, and analytics solutions to support reporting, dashboards, and advanced analytics.
• Collaborate with business teams, data engineers, and BI developers to ensure data is structured and accessible for analysis.
• Drive best practices in data modeling, governance, quality, and performance optimization.
• Partner with business stakeholders to translate requirements into scalable, efficient, and impactful data solutions.
• Advocate for modern analytics architectures (e.g., cloud platforms, data lakes, ELT processes, and self-service BI).
• Stay ahead of industry trends and recommend innovations to improve data accessibility and usability.
• Mentor and provide technical leadership to other team members.

Requirements

• 5+ years of experience in analytics engineering, data engineering, BI development, or related field.
• Strong SQL expertise with experience in data modeling, warehousing, and ETL/ELT processes.

Nice-to-haves

• Experience with modern cloud data platforms (Databricks, Azure Data Factory, etc.).
• Proficiency in scripting/programming (Python, DAX, R, or similar).
• Experience working with BI tools such as Power BI, Tableau, or Looker.
• Strong business acumen and ability to align data solutions with business objectives.
• Experience with ERP/MRP/Order Mgmt platforms (Oracle, MS Dynamics, SAP, etc.).
• Knowledge of data governance, security, and compliance best practices.
• Familiarity with machine learning concepts and integrating AI-driven insights into analytics solutions.

Benefits

• Robust health, dental and vision insurance plans
• Generous 401 (K) savings plan
• Education assistance
• On-site wellness, fitness center, food, and coffee service