Avis Budget Group
ProductAnalyst
“Product Analyst at Avis Budget Group. Skills: Product analytics, Digital analytics, Data analysis, Insight generation, Experimentation support, Measurement and KPI tracking, Data quality and instrumentation, Stakeholder communication. Partner with a specific product pod to support decision-making. Act as the go-to analytics partner for Product Managers and cross-functional teams”
Industry & Context.
Analytical and problem-solving skills; Ability to work with large datasets; Identify trends, opportunities, and pain points; Perform deep-dive analyses; Troubleshoot discrepancies
What They're Looking For.
Must Have
SQL and data querying, Product analytics, digital analytics, or data analyst role within an e-commerce or digital environment, analytical and problem-solving skills, ability to work with large datasets, digital funnels and customer journeys, A testing and experimentation methodologies, communication skills
Nice to Have
Experience analyzing both web and mobile app data, Exposure to B2C and/or B2B digital products, Experience working in agile, product-led organizations, Basic knowledge of statistics and data modeling techniques
What You'll Do.
Partner with a specific product pod to support decision-making
Act as the go-to analytics partner for Product Managers and cross-functional teams
Translate business and product questions into structured analysis
Analyze customer behavior across web and mobile to identify trends
Perform deep-dive analyses on funnel performance
and customer journeys
Combine quantitative data with qualitative inputs to generate insights
Partner with CRO and product teams to design
and analyze A/B tests and experiments
Define success metrics
ensure proper test setup
and evaluate results with statistical rigor
Translate experiment outcomes into clear recommendations and next steps
Define and track key metrics for your product area
Build and maintain dashboards and reporting
Ensure consistency with broader measurement frameworks and definitions
Work with engineering and data teams to ensure accurate event tracking and data collection
Validate data integrity and troubleshoot discrepancies
Contribute to improving analytics frameworks and data reliability
Present insights and recommendations in a clear
Simplify complex data into actionable narratives for product and business stakeholders
Support a culture of data literacy and self-service within product teams
How You'll Work.
Team & Collaboration
Embedded within cross-functional product pods; Partnering closely with Product Managers, Designers, Engineers, and CRO teams; Partner with a specific product pod; Act as the go-to analytics partner for Product Managers and cross-functional teams; Partner with CRO and product teams; Work with engineering and data teams; Support product teams
Communication Scope
Translate business and product questions into structured analysis; Translate experiment outcomes into clear recommendations and next steps; Present insights and recommendations in a clear, concise, and compelling way; Simplify complex data into actionable narratives for product and business stakeholders; Support a culture of data literacy and self-service
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