Product Data Analyst
hace 3 semanas
We are seeking a highly skilled Product Data Analyst to join our team at Lingokids. As a key member of our team, you will play a crucial role in helping us achieve our mission of providing high-quality educational content to families worldwide.
Responsibilities- Analyse user and interaction data to identify patterns, trends, and insights related to product usage and growth.
- Collaborate with product managers to develop A/B testing strategies, implement tests, and analyse results to optimise product features and user flows.
- Create reports and dashboards that track key performance indicators (KPIs) for product and monetisation.
- Provide actionable insights and recommendations to stakeholders based on data analysis to drive product improvements and growth strategy adjustments.
- Stay up-to-date with industry trends, tools, and practices related to product led growth and monetisation.
- Own analytics projects E2E, defining business problems, translating them into data approaches, and delivering insight and tools that drive change.
- Bachelor's degree in Computer Science, Statistics, Business, Marketing, or a related field.
- Proven experience working in a similar role, focusing on product or monetisation and data analysis in a fast growth business.
- Deep expertise in data-focused tools (e.g., SQL, Python) and techniques, with a history of delivering impactful projects from start to finish.
- Experience with data analytics tools (e.g., Amplitude, Looker) and A/B testing tools and techniques.
- Excellent communication skills, both verbal and written, with the ability to present complex data in a clear and persuasive manner.
- Self-starter with the ability to work independently and as part of a team.
- Creative problem-solving skills and a passion for innovation.
- Flexible working hours and work-life balance.
- Stock options.
- Visa sponsorship for EU work permits.
- Professional growth opportunities, including up to €2,000 per year for conferences, books, and training.
- Language lessons.
- Health insurance.
- Mental health support.
- Flexible compensation.
- Meal allowances.
- Home office setup.
- Feedback culture.
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