About Midtronics
Midtronics is the global leader in battery management technology, serving automotive OEMs,
dealerships, fleets, and energy storage markets worldwide. Our products and platforms help
customers make better decisions about batteries, from manufacturing through end-of-life.
About the Team
The Data Analytics & AI team is a small, high-impact group that owns the company's data
infrastructure, analytics platforms, and AI initiatives. We build the dashboards executives use to
make decisions, the ML models embedded in production hardware, and the internal tools that
make every department faster. We operate with a startup mindset inside a mid-size company,
which means you'll ship real things, not just prototypes.
Role Summary
We're looking for a Data & AI Engineer who can move fluidly between building AI-powered
tools, wrangling messy enterprise data, designing compelling dashboards, and sitting in a room
with business stakeholders to figure out what actually matters. This is not a pure data
engineering role or a pure analytics role. It's a builder role for someone who is equal parts
technical and creative, and who gets energy from turning ambiguous business problems into
working solutions.
What You'll Do
Build with AI
• Design, develop, and deploy AI-powered tools and agents using LLM APIs (Anthropic Claude, OpenAI) with structured tool-use patterns
• Build retrieval-augmented generation (RAG) pipelines, prompt engineering workflows, and evaluation frameworks
• Integrate AI capabilities into existing business processes such as sales forecasting, trip reporting, and document generation
• Stay current on AI tooling and bring new ideas to the team about where AI can create real leverage
Data Analysis & Engineering
• Build and maintain data pipelines connecting enterprise systems (Smartsheet, Epicor ERP, SharePoint, JIRA, GitHub) into unified, queryable data sets
• Perform exploratory and diagnostic analysis on sales, operations, and product data to surface actionable insights
• Own data quality: identify gaps, reconcile conflicting sources, and build automated validation checks
• Work with SQL, Python (pandas, NumPy), and APIs to extract, transform, and load data at scale
Dashboards & Visualization
• Build and maintain interactive Power BI dashboards for sales performance, pipeline health, and operational KPIs
• Design data visualizations that tell a clear story and drive decisions, not just display numbers
• Create self-service reporting tools that empower stakeholders to explore data without hand-holding
• Develop HTML-based interactive dashboards and artifacts when Power BI isn't the right fit
Business Problem Solving
• Partner directly with Sales, Marketing, Engineering, and leadership to understand their real problems (not just their data requests)
• Translate vague asks like 'we need better visibility into the pipeline' into concrete, scoped deliverables
• Present findings and recommendations to non-technical stakeholders in a way that's clear, concise, and actionable
• Bring a creative, 80/20 mindset: find the fastest path to a useful answer before overengineering
What You Bring
Required
• 3+ years of experience in data analytics, data engineering, or a similar technical role
• Proficiency in Python or Node.js for scripting, automation, and building tools
• Hands-on experience with Power BI (DAX, data modeling, report design) or equivalent BI tools
• Strong SQL skills and experience working with relational databases or structured data sources
• Demonstrated ability to work with APIs and integrate data across multiple systems
• Clear, effective communication skills with both technical and non-technical audiences
• A portfolio, GitHub, or track record of things you've built that you're proud of
Preferred
• Experience building applications or automations using LLM APIs (Claude, OpenAI, etc.)
• Familiarity with cloud platforms (Azure preferred), CI/CD, and version control (Git)
• Experience with Smartsheet, Epicor, or other enterprise SaaS/ERP platforms
• Background in manufacturing, automotive, or B2B enterprise environments
• An eye for design and UX, whether that's a dashboard layout, a slide deck, or a data visualization
• Comfort with ambiguity and a bias toward action over perfection
Why This Role
• You'll have real ownership from day one, not task work, but problems to solve end to end
• You'll work on AI in production, not just POCs: deployed ML models, patented technology, and tools used across the company
• You'll be part of a team that has delivered 51x ROI and is actively shaping how the company operates
• You'll get exposure to global operations, EU-funded R&D programs, and cross-functional leadership
• You'll work in a hybrid environment that values output over hours
