Manager, Product Analytics
Team: Data Science & Analytics
Location: Barcelona, Berlin, London, Madrid, paris, UK
Commitment: Full-time
Workplace Type: hybrid
Responsibilities:
- Effectively lead, manage, and develop a high-performance team of product analysts.
- Partner with key product partners and contribute on analysis and product feature experiments as an individual contributor as needed.
- Lead prioritization and roadmap planning on critical initiatives for the team.
- Analyze and narrate trends in core efficiency metrics of the Rover marketplace and support the team in these efforts.
- Regularly present to senior leadership and the product organization any trends and insights into changes in the business along with decomposition of drivers concrete recommendations.
- Support Rover’s AB testing process and rhythms. Continue to improve the organization’s decision making & return on investment framework based on experimental design, combined with both quantitative and qualitative measures of customer success.
- Partner with the product and design organization to help solve customer problems by supporting a hypothesis and data driven culture.
- Partner with diverse multi-functional teams including engineering and data infrastructure to ensure efficient flow of actionable information.
Qualifications:
- 10+ years of experience using data to drive business impact, including identifying actionable insights, crafting compelling narratives, and partnering with cross-functional teams to define and implement solutions.
- 4+ years managing analytics teams.
- Advanced proficiency with SQL and data visualization tools (e.g. Mode, Periscope, Looker, Tableau, etc.)
- Exceptional verbal and written communication skills, with the ability to influence senior leadership and cross-functional teams through concise, actionable insights.
- Experience working side-by-side and collaborating with integrated teams of developers, analysts, product managers, and operators as an embedded service partner
- Proven expertise in A/B testing, statistical analysis, and experimental design.
- Familiarity with modern data tools and concepts, such as event-based datasets, Amazon Redshift, and DBT.
- Knowledge of product analytics tools (we use Amplitude) and event-based data.
Nice to have:
- Experience in a two-sided marketplace
- Familiarity with Python, R, or a similar computational language
- An understanding of statistics or an ability to learn
Benefits of working for Rover:
- Long-term incentive plan with a company performance-based cash payout
- Pension plan
- Private medical insurance
- 25 days PTO
- Meal allowance and flexible compensation plan (transport and nursery)
- Gym membership
- €450 to cover the costs associated with the adoption of a pet
- Annual €150 wellness reimbursement
- Flexible work hours, sometimes you'll need to be in at certain times, but on the whole, we're pretty flexible when it comes to managing workload and time
- Grab snacks, fresh fruit, in our kitchen to keep yourself going
- Regular team activities, events, game nights, and more
- Dog-friendly office
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