Overview Lead BI Analyst for Cat AI Assistant, focusing on defining how we measure product value, user behavior, and business impact. You will translate complex product data into actionable insights to guide roadmaps, governance, and investment. You mentor others, build scalable analytics foundations, and advance from dashboards to trusted product insights. You will work cross-functionally to align adoption insights with business goals. This role offers a chance to shape AI-enabled digital products at Caterpillar and drive better decisions.
Compensation / Benefits- Medical, dental, and vision benefits
- Paid time off (vacation, holidays)
- 401(k) savings plan
- Health Savings Account (HSA)
- Tuition Reimbursement
- Incentive bonus
Responsibilities- Serve as lead technical expert for product analytics and guide analytical work
- Analyze usage patterns, funnel performance, and friction to understand adoption drivers
- Gather and interpret data from telemetry, digital analytics, surveys, interviews, and dealer feedback
- Apply statistical methods (segmentation, anomaly detection, cohort analysis) to answer product questions
- Design and build dashboards using Power BI or Tableau; model datasets in Snowflake; validate data with SQL
- Create dashboard concepts and wireframes; document data sources, calculations, and metric definitions
- Establish governance for adoption reporting, including metric definitions, refresh cadence, and data quality checks
- Support experimentation and product learning (A/B testing, pilot measurement); link findings to design and roadmap
- Present findings to leaders and collaborate with Product, DACS, Dealers, Customer Support, Industry Partners
- Research industry trends in digital and AI adoption measurement and communicate learnings to technical/non-technical audiences
- Perform other duties as assigned by Caterpillar management
Key requirements- Extensive experience analyzing product usage, user behavior, engagement, retention, or customer experience data
- Ability to define KPIs and analytical frameworks linking product behavior to business outcomes
- Strong analytical curiosity and problem-solving mindset
- Hands-on experience with Power BI, Tableau, or similar tools
- Experience with Snowflake or enterprise data warehouses
- Strong SQL skills; familiarity with Python or R for advanced analysis preferred
- Knowledge of statistical methods: cohort analysis, segmentation, experimentation, A/B testing, anomaly detection
- Ability to translate complex data into clear, actionable insights for stakeholders
- Experience producing data dictionaries, metric definitions, and reporting guidance
- Excellent technical documentation skills and cross-functional collaboration
- Comfortable as a first-of-role IC; ability to lead multiple workstreams
- Familiarity with AI-enabled digital products is a plus
- 7+ years of relevant experience
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Product Management, or equivalent
- Cross-functional collaboration
- Strong communication and storytelling with non-technical audiences
- Proactive problem-solving and curiosity
- Power BI
- Tableau
- Snowflake
