About the Job
Data only matters if it changes a decision. Designers want to know whether combat feels too punishing, producers want to know where playtesters drop off, and leadership wants to know whether the economy is drifting. We need a Data Analyst who can turn telemetry, playtests, and player feedback into answers the team acts on.
You will report into the technology team and work day to day with game design, production, and our data engineering function. We are open to candidates from mid-level through senior: the scope you take on, and the level we hire at, will match your experience.
We are in early production. The first analytics questions are coming from playtests and internal builds: balance, progression pacing, and economy behaviour. As we move toward live service, the role grows into retention, engagement, and monetisation analytics for a persistent world.
Your Role
Analysis and Insight
Analyse playtest and telemetry data to answer design questions: combat balance, progression pacing, economy flows, quest completion, and social behaviour.
Build and maintain the studio's core KPI reporting: engagement, retention, session patterns, and, as we approach launch, conversion and revenue metrics for a cosmetics-led model.
Investigate anomalies and player behaviour patterns proactively. The best analysts surface the question the team did not know to ask.
Design and analyse experiments and A/B tests as live-service tooling comes online.
Dashboards and Reporting
Build dashboards that designers, producers, and leadership actually use: clear, focused, and answering specific questions rather than displaying everything we collect.
Establish a reporting rhythm for playtests: what gets measured, what gets reported, and how findings feed back into design iteration.
Present findings in plain language. A recommendation the team understands beats a statistically perfect analysis they do not.
Collaboration and Data Culture
Partner with game design to define what success looks like for each system, and instrument it with data engineering before the feature ships.
Work with data engineering on dataset needs, data quality issues, and the event taxonomy. You are the loudest voice for what analysts need from the platform.
Help build the studio's data culture: evidence over assumption, honest reporting of uncertainty, and numbers that everyone can trust.
Must-Haves
3+ years of experience in data analytics (more for senior-level scope), with work that demonstrably changed product or design decisions.
Strong SQL, and proficiency with Python or R for analysis beyond what SQL can do.
Experience building dashboards in Looker, Tableau, Power BI, Metabase, or equivalent.
Solid statistical grounding: distributions, significance, cohort analysis, and the judgement to know when a result is real.
Strong communication skills, with the ability to present findings to non-technical stakeholders and stand behind a recommendation.
Experience working with engineers on instrumentation, tracking plans, or data quality.
Nice-to-Haves
Experience in games analytics: player behaviour, retention, virtual economies, or free-to-play metrics (DAU, retention curves, LTV, conversion).
Experience analysing a live-service or online product through launch and operation.
Experience with experiment design and A/B testing frameworks at production scale.
Familiarity with dbt, a modern warehouse (BigQuery, Snowflake, or equivalent), or analytics engineering practices.
A genuine interest in MMOs and player communities. Understanding why players do things is half this job.
About You
You start with the question, not the data. Analysis exists to drive decisions.
You are honest about uncertainty. You would rather say “the sample is too small” than dress up a weak result.
You are comfortable working through ambiguity. Early production means imperfect data and evolving questions, and you make progress anyway.
You are curious about players. Numbers describe behaviour; you want to understand it.
You work autonomously in a remote environment, proactively keeping your collaborators informed.
Location: Remote-first
Type: Full-time
Start: ASAP
Salary: Competitive, based on experience
