What are the responsibilities and job description for the Principal Analytics Engineer position at Milwaukee Electric Tool Corporation?
WE CREATE EMPOWERED LEADERS! At Milwaukee Tool, we firmly believe that our People and Culture drive our success. Our mission is to provide the tools, technology, and support you need to develop effective analytics solutions that make an impact.
Your Role on Our Team
As a Principal 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.
You'll be DISRUPTIVE through these duties and 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.
The TOOLS you'll bring with you:
7 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.
Other TOOLS we prefer you to have:
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.
Preferred Qualifications:
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.
We provide these great perks and benefits:
Robust health, dental and vision insurance plans
Generous 401 (K) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service
And many more, check out our benefits siteHERE.
