Remarketing Analyst
Posted 16 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 1–2 yrs
- Management level
- Individual contributor
No salary listed for this role.
Field of studyAnalytics, Business, Computer Science, Finance (or related)
Study levelBachelor's
A Day in the Life:
The Remarketing Analyst plays a key role in evaluating lead generation, prospect engagement, and sales performance to drive business growth. This position is responsible for delivering in-depth reporting, analytics, and actionable insights that support data-driven decision making, optimize lead generation strategies, and provide the team with the tools needed to achieve business objectives.
The starting salary for this role is $60K; commensurate with experience.
What You’ll Do:
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Generate consistent daily, weekly, and monthly reporting to assist the Operations, Marketing, and Finance departments in making key decisions to boost sales and efficiencies.
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Automate and maintain reporting current and new structure
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Collaborate with Project Managers and relevant parties responsible for retail expansion to guarantee notable and accurate online presence for all new locations.
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Evaluate changes in leads and sales as well as implement new ideas or solutions to increase growth
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Communicate with the Ecommerce Manager to monitor advertising spend against the assigned per vehicle cost.
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Manage the Used Vehicle Listings (CarGurus, Autotrader, Cars.com, etc.) day to day partnerships and efficiencies and analyze then implement new product offerings with positive ROI.
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Identify and examine geographic regional trends to support in remarketing initiatives.
What We’re Looking For:
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1-2 years of experience managing and analyzing data to provide insights, identify trends, and support strategic decision-making.
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Bachelor's degree in Business, Finance, Computer Science, Analytics, or a related field.
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Demonstrated understanding of lead generation, sales performance, and customer acquisition metrics.
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Experience collaborating with cross-functional teams to achieve business objectives.
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Strong analytical and problem-solving skills with a data-driven mindset.
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Advanced proficiency in Microsoft Excel, PowerPoint, and Tableau.
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Excellent communication skills with the ability to translate complex data into actionable business insights.
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Ability to collaborate effectively with third-party vendors, suppliers, and business partners to achieve desired outcomes.