Business Analyst I - Automotive required

Tekion Corp is positively disrupting the automotive industry with its innovative cloud-native platform. They are seeking a Business Analyst to join their OEM team, focusing on delivering data and insights, partnering with various stakeholders to define metrics and validate data.

Responsibilities:

• 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

Requirements:

• 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
• Hands-on experience with automotive data sources (DMS, CRM, OEM reporting, or third-party automotive datasets)
• Background in retail technology, SaaS, or mobility-adjacent industries
• Familiarity with BI tools like ThoughtSpot, Spotter, or Tableau
• Experience supporting enterprise data products or analytics platforms
• Experience maintaining competitive benchmarking or product comparison frameworks