Senior Data Analytics Engineer

Senior Data Analytics Engineer

Location: Oshkosh, WI (preferred) or New Hudson, MI

Compensation: $139,800 base + up to 10% bonus

Relocation: Offered for Oshkosh, WI only

Travel: Minimal (1–2 trips/year)

Eligibility: U.S. Citizen or Green Card Holder

Overview

We are seeking a Senior Data Scientist to partner directly with business leaders and translate complex data into actionable insights and scalable solutions. This is a highly visible, hands-on role focused on solving real business problems—not a management track position.

The ideal candidate combines strong technical expertise with business acumen, communication skills, and the ability to influence decisions through data storytelling.

What You'll Do

• Partner with business stakeholders to define problems, gather requirements, and deliver data-driven solutions
• Analyze large, complex datasets (structured and unstructured) to uncover trends and insights
• Build, validate, and deploy predictive models and machine learning solutions
• Translate findings into clear, compelling narratives for both technical and non-technical audiences
• Develop dashboards, visualizations, and reporting tools to support decision-making
• Collaborate cross-functionally with data engineers, analysts, architects, and business teams
• Contribute to data quality improvements, root cause analysis, and issue resolution
• Lead or support projects across data science, analytics, and business intelligence initiatives
• Mentor team members and promote best practices across analytics and data science
• Support the evolution of a data-driven center of excellence culture

Core Skills & Experience

• Strong experience working directly with business partners (not just technical teams)
• Ability to own the full lifecycle: requirements, solution, communication, business impact
• Proven ability to tell a story with data and influence decision-making
• Excellent communication and interpersonal skills
• Experience in supply chain, operations, or related business functions
• Comfortable working in collaborative, highly visible environments

Technical Skills

• Programming: Python, R (additional languages such as C are a plus)
• Data & ML: Machine learning, statistical modeling, data analysis
• Tools: Azure Databricks, Spark, Power BI, Excel (advanced functions/pivot tables)
• Experience working with large-scale datasets and distributed computing environments

Preferred Background

• Industry experience in manufacturing, automotive, industrial, engineering, or similar environments (Healthcare, retail, biotech also considered; heavy financial services backgrounds less aligned)
• Experience with:
  • Power Platform tools
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Front-end data apps (Flask, Gradio, etc.)

Education & Experience

• Bachelor's degree + 5+ years of relevant experience OR
• Master's degree + 3+ years of relevant experience

What Success Looks Like

• Demonstrates clear business impact from data science work
• Builds solutions that are adopted and used by stakeholders
• Communicates insights in a way that drives action
• Operates as a trusted partner to the business, not just a technical resource

Position Summary

This is an opportunity to join a collaborative, forward-thinking team where data science directly impacts business performance. The role is ideal for someone who enjoys working across functions, solving complex problems, and delivering measurable results through data.