- Analyze product performance data to identify growth opportunities and bottlenecks.
- Monitor and report on key product metrics and levers that impact growth.
- Collaborate with product and customer experience teams to develop data-driven recommendations for feature improvements.
- Communicate insights to cross-functional teams and drive data-driven decision-making. Requirements:
- Bachelor's degree in Business, Statistics, Economics, or a related quantitative field.
- Minimum 7 years of experience in product growth and growth analytics.
- Proficiency in statistical analysis and data visualization tools (e.g., Python, R, Tableau).
- Experienced in multi-product environments and needs, using data frameworks for growth levers and proactively helping product teams set roadmaps based on product analytics recommendations.
- Demonstrated experience in cross-company collaboration, working with complex data sets, limited data and driving products and the company forward from a business perspective.
- Strong communication and presentation skills; translating data into valuable business insights.
- Experience running and analyzing A/B tests.
- Excellent quantitative and qualitative skills, you are able to break down highly complex problems involving large amounts of data.
- Strong storytelling skills and ability to tailor data and insights to different audiences.
- Strong project management capabilities and ability to drive multiple work streams of varying complexity. What you'll get:
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. varies by country)
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Staff Product Analytics Specialist - Berlin, Deutschland - Mozilla
Beschreibung
Staff Product Analytics Specialist (Business Analytics, Insights & Reporting)
at Mozilla Corporation Team: Strategy & Operations Locations: Remote UK, Remote Germany, Remote Canada, Remote USWhy Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. The Role: The Business Analytics & Insights function equips a company with data-driven decision-making capabilities, ensuring strategies are grounded in factual insights. By identifying market trends and customer behaviors, it allows for proactive strategy adjustments and resource optimization. Through performance monitoring and competitive analysis, this function ensures that strategic plans remain agile, relevant, and aligned with both market realities and organizational goals. A Business Analytics, Insights & Reporting function is pivotal for data-informed decisions, strategic planning, optimizing business operations, and ensuring alignment with our strategic vision. Data Science & Engineering are a separate but collaborative organization, to ensure efficiency, scalability, and agility in our overall data operations. Responsibilities: