Senior Product Data Analyst

at  Hertz

A DAY IN THE LIFE:

Our senior product data analysts are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using internal and external data to provide actionable and strategic insights.
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.
The role of the incumbent is 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.

• Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards.
• Perform deep research on the company and industry to understand the industry’s current trends and challenges and identify opportunities for growth.
• Liaise with stakeholders within the company to understand their needs and concerns and develop concise analytics to provide actionable insights 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.