Data Analyst (all genders)
Role details
Job location
Tech stack
Job description
We are looking for a Data Analyst 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., * Extract, manipulate, and analyze large datasets related to marketing, in-app events, product, and monetization metrics to uncover actionable insights.
- Work closely with stakeholders across departments, including marketing, product management, finance, and data engineering, to align on objectives, share insights, and drive collaborative initiatives
- Design and maintain data models to support analytics and reporting needs, following dimensional modeling principles
- Conduct cohort analysis and segmentation to help optimize user acquisition, product development and monetization efforts.
- 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.
- Occasionally develop and maintain core dashboards and reports for tracking and monitoring key performance metrics., * Work-Life Balance and Flexibility: Flexible working hours and options for digital nomads, occasional office visitors, or regular office-goers
- Employee Stock Options: Opportunity to join our Virtual Share Option Program (VSOP) and share in the success of an already profitable company
- Mental Health Support: Free personal coaching through our partner nilo.health to support our team members to live fulfilled lives at home and at work
- Training & Development: A competitive personal development budget of up to 2000€/year for training, conferences, workshops, etc., and free language courses with Chatterbug
- Germany-Based Benefits: 25 vacation days, free Gympass gold subscription, free monthly Deutschland-Ticket, and a monthly €50 tax-free internet contribution
- State-of-the-Art Equipment: Doesn't matter if you are a MacBook or Windows user; we will provide you with the technical gear you need to succeed
- A Relocation Package: Includes visa support for those who need it
- Berlin Office Perks: Ergonomic setup, free daily lunch, and a dog-friendly environment.
- Engaging and Diverse Work Environment: Join a diverse team, with over 30 nationalities working from 20 different locations
- Benefits may vary depending on location and contract type. Do not hesitate to ask us about more details on our benefits offer.
Requirements
Do you have experience in Tableau?, * At least 5 years of proven experience in data analyst 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.
Nice to Have:
- Familiarity with A/B testing methodology and experiment evaluation
- Familiarity with user attribution methodologies for different platforms.