Data Analyst (Product)

March 23

Lingokids

Helping families around the world raise amazing kids.

mobile • e-learning • Software • apps • english

51 - 200

Description

• 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 optimize 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. Define business problems, translate into data approaches for yourself and more junior members of the team, and deliver insight and tools that will drive change. • Bachelor’s degree in Marketing, Business, Statistics, Computer Science, or a related field. • Proven experience working in a similar role, focusing on product or monetization and data analysis in a fast growth business. • Deep expertise in data-focused tools (e.g., SQL, Python, R) and techniques, and have a history of delivering impactful projects form 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. • Bright, high calibre candidate who enjoys working in a warm, fast-paced and collaborative environment.

Requirements

• Bachelor’s degree in Marketing, Business, Statistics, Computer Science, or a related field. • Proven experience working in a similar role, focusing on product or monetization and data analysis in a fast growth business. • Deep expertise in data-focused tools (e.g., SQL, Python, R) and techniques, and have a history of delivering impactful projects form 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. • Bright, high calibre candidate who enjoys working in a warm, fast-paced and collaborative environment.

Benefits

• Remote working option • Flexible hours and work-life balance • Stock options • Visa sponsorship • Professional growth support • Language lessons • Health Insurance • Mental Health Support • Flexible compensation • Meal allowances • Home office setup • Feedback culture

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