Revenue Management Analyst

OPENLANE

EE. UU.

A distancia

USD 75.000 - 85.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive pay
401K plan
Paid Vacation
Maternity/Paternity leave
Medical, dental, and vision benefits
Tuition Reimbursement
Volunteer day

Descripción de la vacante

OPENLANE seeks a Revenue Management Analyst to join the Merchandizing & Revenue Management team. You will build financial models, provide reporting/visualization, and drive insights from analytics. 2–5 years in data analysis and BI is expected.

The role emphasizes tracking Customer Lifetime Value, campaign analytics, and cross-unit performance to optimize revenue outcomes. Strong SQL/BI skills are essential.

Formación

  • Bachelor’s degree in a quantitative field is required.
  • 2–5 years of experience as a data analyst or reporting analyst.
  • Demonstrated experience managing small to medium projects.
  • Experience with process automation tools (Power Automate, UiPath, Zapier, Kissflow, Appian, etc.).
  • Strong knowledge of data models, simulation techniques, financial modeling.
  • Strong experience with reporting packages (Tableau, Power BI, DOMO, Looker) and databases (SQL, Snowflake).
  • Strong analytical skills with the ability to collect, organize, analyze, and report findings clearly.
  • Adept at queries, report writing and communicating findings concisely.

Responsabilidades

  • Track and analyze Customer Lifetime Value and retention by dealer segments and cohorts across units.
  • Develop input/output models to identify performance gaps and predict sales results.
  • Analyze complex business problems through data analysis and identify solutions.
  • Plan and analyze campaign data to improve SoW or MAU.
  • Create sustainable reports and visualizations to track analytics results.
  • Build financial and decision-making models for critical initiatives.
  • Collaborate with management to prioritize business and information needs.
  • Manage projects to coordinate efforts and mitigate risks.
  • Define and implement process improvements including automation.

Conocimientos

Data analysis
Financial modeling
Business intelligence
Project management
Statistical analysis

Educación

Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management, Statistics

Herramientas

Tableau
Power BI
SQL
Snowflake
Looker
DOMO

Descripción del empleo

Who We Are:

At OPENLANE we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. 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 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 Revenue Management Analyst with experience in business intelligence, financial modeling, and data visualization. You will be part of the Merchandizing & Revenue Management team responsible for analyzing and tracking key business results to optimize revenue outcomes. You will be involved in developing financial models, reporting/visualization, and driving insights through analytics. The ideal candidate will have 2-5 years of experience in data analysis, reporting, and business intelligence tools.

You Will:
  • Track & analyze Customer Lifetime Value and retention by dealer segments and cohorts across business units
  • Develop input/output business result tracking models to identify performance gaps and predict future sales performance results
  • Examine complex business problems through data analysis and identify possible solutions
  • Plan, execute, and analyze campaign/promotion event data to drive better Share of Wallet (SoW) or Active Users (MAU)
  • Formalize analytics findings and track results with sustainable reports and visualizations
  • Create financial and decision-making models and prepare ad-hoc analyses to support critical initiatives
  • Work closely with management to prioritize business and information needs
  • Manage projects to coordinate efforts and mitigate risks to achieving performance targets
  • Define and implement new process improvement opportunities including process and reporting automation
Must Have’s:
  • Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or other Quantitative Degree (Finance, etc.) required
  • 2-5 years of experience as a data analyst/statistical analyst/model developer or reporting analyst
  • Demonstrated experience managing small to medium projects
  • Experience with process automation tools (Power Automate, UiPath, Zapier, Kissflow, Appian, etc.)
  • Strong knowledge of data models, simulation techniques, financial modeling
  • Strong understanding of and experience with reporting packages (Tableau, Power BI, DOMO, Looker, etc), and/or databases (SQL, Snowflake, etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and accurately/clearly/concisely reporting findings
What We Offer:
  • Competitive pay
  • Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
  • Immediately vested 401K (US) or RRSP (Canada) with company match
  • Paid Vacation, Personal, and Sick Time
  • Paid maternity and paternity leave (US)
  • Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
  • Robust Employee Assistance Program
  • Employer paid Leap into Service Day to volunteer
  • Tuition Reimbursement for eligible programs
  • Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
  • Company culture of internal promotions, diverse career paths, and meaningful advancement
  • Compensation Range of Annual Salary: $75,000.00 - $85,000.00 (Depending on experience, skill set, qualifications, and other relevant factors.)

OPENLANE is an equal opportunity employer and a drug-free workplace.

OPENLANE makes wholesale easy so our customers can be more successful. Our end-to-end platform serves the remarketing needs of the world’s largest OEMs, dealers, fleet operators, rental companies and financial institutions. We’re a technology company delivering next generation tools to accelerate and simplify remarketing. We’re an analytics company leveraging data to inform and empower our customers with clear, actionable insights. And we’re an auction company powering the world’s most advanced digital used vehicle marketplaces. In 2021, OPENLANE sold nearly 2.6 million vehicles valued at over $40 billion through our auctions and generated approximately $2.3 billion in revenue. Our integrated digital marketplaces and vehicle logistics centers reduce risk, improve transparency and streamline the experience for customers in about 75 countries. OPENLANE continues to make investments in innovation, strategic acquisitions and integrations to better serve our customers. Headquartered in Carmel, Indiana, OPENLANE has about 5,000 employees and maintains business units across North America, Europe, the Philippines and Uruguay. Together, the OPENLANE brands provide a complete remarketing solution for our customers.

California Residents: Click here to learn more about the personal information we collect in the application process. Also, click here for how we adhere to the California Fair Chance Act.

Canadian Residents: Click here to learn more about how we adhere to the provincial Human Rights Codes and any accessibility and/or disability legislation.

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