Business Analyst, Tekion

• Bachelor’s degree in Analytics, Data Science, Data Engineering, Statistics, Computer Science, or a closely related field required
• 4+ years in business analysis, analytics, strategy, product analytics, or a similar role
• Strong automotive industry knowledge — you understand OEM and dealer dynamics, dealership operations, vehicle and sales data, or related automotive domains
• Solid SQL skills and experience working across multiple data sources
• A knack for turning fuzzy business problems into clear requirements and real deliverables
• Experience defining and documenting KPIs and business rules
• Sharp problem-solving skills, great attention to detail, and a bias toward action
• Strong communicator — you can explain the logic and the takeaway to both technical and business audiences
• Comfort in a fast-paced environment with shifting priorities
• Familiarity with BI tools like ThoughtSpot, Spotter, or Tableau

Desirable

• We're looking for a Business Analyst to join our OEM team and help shape how Tekion delivers data and insights across the business
• This is a hands-on role for someone who loves working with data, gets excited about the auto industry, and wants real ownership early in their career
• You'll partner with Product, Data Engineering, Analytics, and business stakeholders to turn questions into answers — defining the metrics, building the logic, validating the data, and shaping the analytical frameworks that help our teams, OEM partners, and dealers make smarter decisions
• If you're someone who likes to dig in, figure things out, and grow alongside the work, you'll fit right in
• Support analytical workstreams across a range of data and analytics initiatives
• Turn business questions into clear data requirements, KPI definitions, and reporting logic
• Document the business rules, metric definitions, and assumptions behind our analytics
• Help build and maintain foundational analytical assets — hierarchies, segmentation frameworks, benchmarking dimensions, and business reference data
• Investigate discrepancies, spot data gaps, and help build trust in our core metrics
• Partner closely with Product, Data Engineering, and business stakeholders to move work from idea to execution
• Bring structure to ambiguous problems with support from senior team members
• Create analyses, requirement docs, and summaries used by cross-functional teams and leadership
• Help shape repeatable processes that make analytics easier and more consistent over time
• Help maintain competitive and market benchmarking materials
• Refresh benchmarking to reflect shifts in market capabilities and competitor moves
• Help make sure market context is feeding into planning and prioritization