Hertz is seeking a Product Owner-Commercial Analysis & Data Strategy to lead the development and ongoing support of varied data sources and decision support tools to help advance Hertz's commercial strategy. Hertz’s commercial strategy is centered on the ability to expand adoption of premium products, grow customer trust and be a world-class retailer all while maintaining our unit revenue performance.

The successful candidate will lead the delivery of key data sources needed to support Commercial and broader corporate decision making, where applicable. This individual will be able to partner across business and IT teams to create and deliver valuable data, training, and/or tools across Hertz Global. This role will conduct data analysis as needed to improve data quality or answer various business questions as well as develop and/or enhance commercial reports as needed. The selected candidate will combine strong business acumen and technical skills to drive data enablement and decision making across the organization.

What You’ll Do:

• Identify and understand commercial priorities to deliver timely and reliable solutions that meet business needs
• Define and build data models that can transform unstructured data into something insights can be gleamed from.
• Independently lead the design, modeling and creation of new commercial data sources (e.g. Click Stream Data, Scrapping, Channel Interactions, etc.)
• Lead the implementation of Databricks for business data analysis & reporting for Commercial teams
• Work closely with business and IT partners to understand and translate business requirements into usable and reliable data solutions
• Manage existing suite of corporate reports to ensure accuracy and timeliness
• Act as a subject matter expert for multiple data sets and/or tools
• Design, create, and implement Tableau dashboards or analytical reports to help various commercial teams more quickly and efficiently identify revenue opportunities
• Effectively communicate complex technical subject matter to a non-technical audience as well as create/deliver training for commercial data and tools

What We’re Looking For:

• Minimum of bachelor’s degree in Economics, Statistics, Data Analytics, Engineering, Computer Science, Information Systems, etc. required.
• Minimum of 2 years of experience in a Data Engineering, Data Management or Data Analysis required
• Experience in enabling AWS technology to support business report user needs
• Deep Expertise in Python, R, Tableau, Databricks, SAS, SQL, Excel or similar skills required
• Experience and interest in data enablement and data management for broad user community
• Demonstrates intellectual curiosity as well as sound analytical and communication skills; ability to effectively communicate at all levels
• Must be capable of independently managing multiple projects from inception to completion and make well informed priority trade-offs
• Consistently prioritizes safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.

Preferred Qualifications:

• Advanced degree Economics, Statistics, Data Analytics, Engineering, Computer Science, Information Systems, etc.
• Experience in at least one travel industry vertical, (Cars, Hotels, Airlines) specifically related to Revenue Management, Sales, eCommerce or technology