Tekion

Automotive

BusinessAnalyst

$82–137k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Analyst at Tekion. Skills: Data analysis, Business analysis, Automotive industry. Support analytical workstreams. Turn business questions into clear data requirements”

Industry & Context.

Automotive
Problems you'll solve

Problem-solving skills; Sharp problem-solving skills

What They're Looking For.

Must Have

Bachelor's degree in Analytics, Data Science, Data Engineering, Statistics, Computer Science, or a closely related field, 4+ years in business analysis, analytics, strategy, product analytics, or a similar role, automotive industry knowledge, Solid SQL skills, experience working across multiple data sources, Experience defining and documenting KPIs and business rules, Sharp problem-solving skills, great attention to detail, a bias toward action

Nice to Have

Hands-on experience with automotive data sources, 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

What You'll Do.

Support analytical workstreams

Turn business questions into clear data requirements

Define KPI definitions

Define reporting logic

Document business rules

Document metric definitions

Document assumptions behind analytics

Build foundational analytical assets

Maintain foundational analytical assets

Investigate discrepancies

Build trust in core metrics

Partner closely with Product

Move work from idea to execution

Bring structure to ambiguous problems

Create requirement docs

Help shape repeatable processes

Make analytics easier

Make analytics more consistent

Help maintain competitive benchmarking materials

Make sure market context is feeding into planning

How You'll Work.

Team & Collaboration

Product; Data Engineering; Business stakeholders; Cross-functional teams; Leadership

Communication Scope

Explain logic; Explain takeaway

Full Job Description

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 ana

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