Sr. Revenue Operations Analyst

OPENLANE; Carmel (IN); On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Competitive pay

Medical, dental, and vision benefits

Employer HSA contributions

FSA options

Job summary

OPENLANE is seeking a highly analytical Revenue Operations Analyst to partner with Sales Leaders and drive scalable growth. You will leverage data insights, experimentation, and structured processes to support expanding sales teams, improve productivity, and ensure efficient execution.

The ideal candidate translates insights into operational strategies, builds reporting frameworks, and collaborates with Marketing, Finance, and Product to align revenue initiatives with business goals.

Qualifications

• Bachelor’s degree or higher in Business, Economics, Data Science, Finance or related field.
• 1 year+ experience in Sales Operations, Revenue Operations, Business Analytics, or related field.
• Strong analytical and technical skills with SQL and Python for data tasks.
• Experience with data visualization tools (Tableau, Domo, PowerBI, Looker) and CRM systems.
• Hands-on experience with AI/automation tools to improve efficiency and reporting.
• Knowledge of experimental design and statistical analysis is a plus.
• Excellent communication to translate data into insights for stakeholders.
• Ability to manage multiple projects in a fast-paced environment.

Responsibilities

• Partner with Sales Leadership, providing data-driven insights, forecasting support, and performance analysis.
• Build and maintain reporting frameworks, scorecards, and pipeline health metrics.
• Develop frameworks to prioritize high-value activities and improve funnel efficiency.
• Support territory, quota, and CRM hygiene to reduce non-selling time.
• Apply A/B tests, pilots, and cohort analysis to evaluate sales strategies.
• Design repeatable dashboards and structures to manage larger teams.
• Identify bottlenecks and streamline workflows to boost sales effectiveness.
• Collaborate with Marketing, Finance, and Product to align revenue initiatives.

Skills

SQL

Python

Data visualization

CRM systems

AI automation

Experiment design

Communication

Education

Bachelor's degree or higher

Tools

Tableau

Domo

Power BI

Looker

Salesforce

Job description

Who We Are:

At OPENLANE we make wholesale easy so our customers can be more successful.

We’re a technology company

We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles.

We’re a data company

We’re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use.

And we’re an innovation company

And we’re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit.

Our Values:

Driven Waybuilders . We pursue challenges that inspire us to build, create, and innovate.

Relentless Curiosity. We seek to understand and improve our customers’ experience.

Smart Risk-Taking. We transform risk into progress through data, experience, and intuition.

Fearless Ownership. We deliver what we promise and learn along the way.

We’re Looking For:

We are seeking a highly analytical and solutions-oriented Revenue Operations Analyst to partner with our Sales Leaders in driving scalable growth. This role will leverage data insights, experimental design, and structured processes to help manage expanding sales teams, improve productivity, and ensure the organization is equipped to execute with efficiency.

The ideal candidate is both a critical thinker and a builder—comfortable with analytics, systems, and experimentation—who can translate insights into operational strategies that drive revenue performance.

You Will:

• Partner with Sales Leadership: Act as a trusted advisor to sales leaders, providing data-driven insights, forecasting support, and performance analysis to guide decision-making.
• Sales Team Performance Management: Build and maintain reporting frameworks, scorecards, and performance metrics to track attainment, productivity, and pipeline health across teams and individuals. Provide insights that drive accountability and continuous improvement.
• Sales Productivity & Prioritization: Develop frameworks and tools to help reps prioritize high-value activities, focus on the right accounts, and increase efficiency across the funnel.
• Sales Admin Management: Support and streamline sales administrative processes (territory assignments, quota setting, incentive tracking, CRM hygiene) to reduce time spent on non-selling activities and ensure accuracy in reporting.
• Experimental Design & Insights: Apply the science of testing and control (A/B tests, pilots, cohort analysis) to evaluate sales strategies, incentive programs, and process changes.
• Scalability & Structure: Design repeatable processes, dashboards, and reporting structures that enable management of larger and more complex sales teams.
• Operational Excellence: Identify bottlenecks, streamline workflows, and recommend improvements to increase sales effectiveness and coverage.
• Cross-Functional Collaboration: Work closely with Marketing, Finance, and Product teams to align revenue operations initiatives with broader business goals.

Must Have’s:

• Bachelor’s degree in Business, Economics, Data Science, Finance or related field (Master’s preferred).
• 1 year+ of experience in Sales Operations, Revenue Operations, Business Analytics, or a related field.
• Strong analytical and technical skills, including proficiency in SQL and Python for data querying, transformation, and modeling.
• Experience with data visualization and BI tools (e.g., Tableau, Domo, PowerBI, Looker).
• Familiarity with CRM systems (Salesforce or equivalent) and sales process management.
• Hands-on experience leveraging AI/automation tools in the workplace to improve efficiency, streamline processes, or scale reporting/insights.
• Knowledge of experimental design and statistical analysis is a strong plus.
• Exceptional communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.
• Proven ability to manage multiple projects, prioritize effectively, and thrive in a fast-paced environment.
• Strong analytical and moderate technical skills, including SQL and Python for data querying, transformation, and modeling.

What We Offer:

• Competitive pay
• Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
• Immediate