Python Job: Product Data Analyst - Rideshare

Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz holds the largest EV rental fleet and is combining its brand strength and global fleet management expertise with new technology and innovations to chart a dynamic, new course for travel, mobility and the auto industry. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in electrification, shared mobility and a digital-first customer experience.

At Hertz, our product data analysts are responsible for developing analytical methods to understand product performance and performing advanced analytics to generate product insights to create business value and identify key strategic opportunities.

As a product data analyst, you will have the opportunity to work on impactful strategic initiatives and use state of the art technologies to solve complex problems to enable and optimize our digital, connected fleet, pricing, and ridesharing products.

Your main objective is to leverage advanced analytics and data mining techniques to deeply understand our product performance and generate insights to drive operational efficiency and effectiveness by enabling proactive data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to leadership teams to inform strategy and highlight potential risks and opportunities that initiate the drive for change.

Key Responsibilities:

• Use and follow best practices to generate accurate reports, visualizations, and dashboards.
• Analyze complex business problems using data and provide simple, elegant solutions.
• Provide actionable insight to decision-makers to influence strategy and performance.
• Analyze and define success and performance metrics for current and new business initiatives, with a specific focus on A/B tests.
• Integrate and curate data from a wide range of internal and external sources to develop detailed reports and dashboards.
• Use data visualization tools to explain your results simply and succinctly to technical, non-technical, and senior audiences.
• Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large, complex datasets.

Required Skills and Experience

• Minimum of 3 years hands-on experience in a data analyst role.
• Minimum of 2 years hands on experience with Cloud Services, preferably AWS.
• Working capabilities in scripting languages such as Python
• Strong experience with Data Visualization tools such as Tableau.
• Strong capabilities in SQL and experience working with structured and unstructured data.
• Strong interpersonal and communication skills with Agile/Scrum experience.
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels.

Required Education

• A bachelor's degree or higher in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering.