Drive revenue performance through advanced analytics, automation, and scalable data pipelines for the North America RAC division.

Analyze data and create Tableau reports to track key revenue metrics and optimize revenue for the North America RAC division.
Evaluate KPIs using statistical testing, conduct root-cause analysis, and develop forecasting to support Revenue Management leadership questions.
Design, map, monitor, maintain, and troubleshoot Databricks data pipelines and sources supporting reporting, with a focus on data accuracy, reliability, and minimal downtime.
Convert manual workflows into automated processes or applications to improve efficiency and accuracy, including examples such as alerts, algorithmic bid processing, automated data archiving, application design for user input, and automated data entry using virtual machines or bots via Python, PySpark, Databricks Apps, and Power Automate.
Partner with internal and external teams to test solutions, gather feedback, and align work to desired business outcomes.
Summarize project work for stakeholders by explaining the business problem, presenting findings, designing solutions, and sharing the measured revenue impact.
Strengthen technical and professional capability through ongoing learning, identify improvements to increase effectiveness, and mentor/develop analysts by sharing best practices.

Bachelor’s degree or equivalent required; preferably in statistics, data science, business analytics, machine learning, computer science, mathematics, or another analytical field.
Minimum experience: 2 years in data or business analytics; or 1 year experience plus a master’s degree in the relevant subject matter.
Technical skills: SQL and Python.
Preferred technical skills: PySpark and Databricks, plus Tableau.
Useful technical skills: R, machine learning, forecasting, and other data visualization tools.
Proficiency in critical thinking, problem solving, and adaptability.
Ability to collaborate with stakeholders to support, develop, and enhance reporting and tools.
Effective data storytelling: explain complex problems, present insights, and build creative solutions for audiences with varying technical knowledge.
Knowledge of revenue optimization, pricing science, economics, and statistics and probability principles.

Starting salary: $75,000 (commensurate with experience).

Sr. Revenue Data Analyst

Job Description