Automotive OEM Business Analyst I - Automotive DMS required

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Summary: 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. Duties & Responsibilities: ***Strong automotive experience required Analysis & Execution 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 Working Across Teams 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 Market & Benchmarking 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 Qualifications: What We're Looking For 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 Bonus Points For 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