Business Analyst I - Automotive 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