About the role

In this role you will

Lead the analytics team by setting clear expectations, providing actionable feedback, and fostering an environment of accountability.
Shape the team’s organizational structure and hiring priorities, driving succession planning and long-term career development for team leads and senior specialists.
Develop analytics and data science roadmap, aligning technical priorities directly with division goals and product roadmaps.
Drive proactive research projects that identify gameplay and commercial opportunities.
Oversee product performance tracking and core KPIs, helping Product and Production teams make data-backed calls on feature updates, live-ops, and game economies.
Partner with Growth and Marketing on campaign performance, attribution, and predictive LTV models to guide acquisition spend.
Transition the company from reactive, manual reporting to a dashboard-first, self-serve model so product teams get instant answers and data scientists can focus on research.
Define testing and validation criteria for prototypes and soft launches to advise leadership on whether to scale, pivot, or kill concepts early.
Flag emerging portfolio trends, drop-offs, and commercial risks, providing clear recommendations directly to executive management.
Ensure data definitions, measurement methodologies, and tracking standards remain clean and consistent across the studio.

Strong leadership skills.
Strong practical foundation in product analytics, covering core KPI tracking, player segmentation, economy balancing, and rigorous A/B testing methodologies.
Solid grasp of applied data science in gaming.
Deep hands-on experience with marketing analytics, including predictive LTV modeling, ROAS optimization, UA channel performance, and incrementality/media mix evaluation.
Practical familiarity with modern data stacks, clean telemetry practices, and leveraging AI tools to accelerate analytical workflows.
Hands-on SQL, Python or R
Ability to translate complex data into practical context and discuss trade-offs directly with Product Leads, UA Leads, Producers, and Leadership.
Strong communication skills, with fluency in the English language (both written and spoken).

7+ years of experience in data analytics, data science, or business intelligence, with significant background in mobile gaming or high-scale mobile apps.
Balanced end-to-end expertise across both product data (in-game data, economies, live-ops) and marketing data (UA performance, attribution, media efficiency).
Experience leading through team managers or senior specialists.
Strong track record of finding commercial and gameplay opportunities through data, driving tangible impact on retention, monetization, and acquisition.
Proven track record of transitioning organizations to a dashboard-first, self-serve data model (e.g., Tableau, Looker, Lightdash, or custom tools) to eliminate ad-hoc reporting bottlenecks.

Employment relationship with a legal entity within Outfit7 Group for an indefinite period of time, with a six-month probationary period.
Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
Participation in attractive projects.
Development opportunities through training, seminars, and conferences.
Choice of sport, fitness, educational, and entertainment activities outside of work.
Healthy meals in the office.
Flexible working hours.
24 days of paid vacation.
Participation in a discretionary bonus plan.
Christmas bonus (subject to internal policies).
We are open to exploring remote work possibilities, subject to the specifics of the candidate's location and preferences.

Initial salary for the position will be shared prior to the first interview.