Senior Product Data Analyst

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.

What You’ll Do:

• 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. 

   

What We’re Looking For:

• Minimum of 5 years hands-on experience in a data analyst role.
• Minimum of 2 years hands on experience with Cloud Services, preferably AWS or Databricks.
• A bachelor’s degree or higher in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering.
• Strong experience with Data Visualization tools such as Tableau. 
• Strong capabilities in SQL and experience working with structured and semi-structured 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.
• Working capabilities in scripting languages such as Python is an advantage.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels.
   

What You’ll Strive For:

• 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

What You’ll Get:

• Up to 40% off the base rate of any standard Hertz rental in Corporate countries.
• Hybrid/flexible working arrangements
• 22 days holidays on hire rising to 27 days with service.
• Occupational Pension Scheme with up to 5% company matched contribution. 
• Life Cover payable at 4 times base salary. 
• Profit Share Scheme 
• Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends) 
• Tuition support plus access to compressive online learning platform
• 10 days paid study leave & paid exam leave where exams fall during work hours.
• Income protection for long term illness 
• Professional membership fees paid in full annually where membership relates directly to role. 
• Bike to Work & Travel Pass schemes. 
• Free onsite gym with personal training available as well as daily fitness classes 
• Employee Assistance Programme for employees and family
• Onsite Occupational Health support 
• Discounted Microsoft at Home plan 
• Christmas savings scheme 
• Subsidised staff restaurant with library & games area, self-catering facilities also available 
• Free parking