Analytics Engineer (all genders)

We are looking for a Analytics Engineer to join our dynamic team, where you will play a pivotal role in steering the strategic direction of our marketing, product development, and monetization efforts through data-driven insights. As a key member of our data analytics team, you will leverage your expertise to extract, manipulate, and analyze large datasets, uncovering actionable insights that drive growth and efficiency across the company.

• At least 5 years of proven experience in analytics engineer roles, preferably within the B2C app industry or mobile gaming industry

• Proficiency in data analysis tools and programming languages, such as SQL, Python, etc.

• Experience with data visualization tools such as Metabase, Looker or Tableau, with a strong track record of creating intuitive dashboards and reports that communicate key metrics and trends to stakeholders.

• Experience with data transformation tools (dbt, Dataform) and version control (Git)

• Strong analytical skills with the ability to interpret complex data sets, draw meaningful conclusions, and communicate findings effectively to non-technical stakeholders.

• Excellent communication skills to present findings and collaborate with non-technical stakeholders.

• Strong problem-solving skills and the ability to troubleshoot technical issues.

• Familiarity with mobile analytics platforms (e.g. Adjust, Firebase) supporting effective measurement of user acquisition and engagement efforts.

• A passion for and understanding of the mobile app and mobile gaming industry, including market trends and player behavior.

• Familiarity with A/B testing methodology and experiment evaluation

• Familiarity with user attribution methodologies for different platforms.

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  Extract, manipulate, and analyze large datasets related to marketing, in-app events, product, and monetization metrics to uncover actionable insights.

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  Work closely with stakeholders across departments, including marketing, product management, finance, and data engineering, to align on objectives, share insights, and drive collaborative initiatives

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  Design and maintain data models to support analytics and reporting needs, following dimensional modeling principles

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  Conduct cohort analysis and segmentation to help optimize user acquisition, product development and monetization efforts.

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  Participate in collaborations with external machine learning projects to enhance data capabilities and implement cutting-edge analytical techniques, contributing to the development of innovative solutions that drive user engagement and business growth.

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  Occasionally develop and maintain core dashboards and reports for tracking and monitoring key performance metrics.