Lead Data Analyst

Starform; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Starform is a ~25-person studio building bold, new multiplayer games. Our first title, Metalstorm — a 5v5 arcade air-combat game — shows the impact of analytics on live decisions, and we weave AI into workflows that make sense.

In this role you own UA and ROAS analysis, track the game economy, design experiments, run weekly metrics, and build AI-assisted analyses so decisions are clear and fast.

Qualifications

• 3+ years of quantitative analysis on a live product; free-to-play experience strongly preferred.
• Expert SQL.
• Real statistical judgment: experimental design, uncertainty, and selection effects.
• AI-fluent: use LLMs and agents daily in analysis work.
• Clear writing for non-technical audiences and strong decision recommendations.

Responsibilities

• Own UA and ROAS analysis; build cohort-level ROAS curves and payback decisions.
• Analyze the game economy: sinks, sources, conversion, and progression.
• Help design and read experiments (A/B tests) with clear recommendations.
• Run weekly top-line metrics and monthly retention deep-dives by geography and platform.
• Build AI-assisted analysis workflows to speed up judgment.

Skills

Quantitative analysis

SQL

Statistical judgment

AI fluency

Clear writing

Tools

Redshift

Hex

Job description

Starform is a ~25-person studio building bold, new multiplayer games. Our first title, Metalstorm — a 5v5 arcade air-combat game — has reached over 15 million players worldwide. We operate leveraging AI to be more ambitious: small team, high bar, AI woven into workflows that make sense. We believe that a small team of the right people, moving fast with modern tools, out-builds studios ten times our size.

The Role

Your analysis moves real decisions weekly: where UA dollars go, which experiments ship, how the game economy gets tuned. There's no analytics bureaucracy here — the distance between your work and a decision is one conversation, and the decisions are often critical to the team’s direction and decision-making.

What You'll Do

• Own UA and ROAS analysis. Build cohort-level ROAS and payback curves from MMP data (we use Singular), separate signal from attribution noise, and make scale/hold/kill recommendations on live campaigns.
• Analyze the game economy. Track sinks, sources, conversion, and progression — how players actually move through new systems, not how we hoped they would.
• Help Design and read experiments. A/B tests across events, offers, onboarding, and pricing, with honest uncertainty and a clear recommendation every time.
• Run the studio's vital signs. Weekly top-line metrics and monthly retention deep dives by geography, cohort, platform.
• Build AI-assisted analysis workflows. Agents and pipelines that pull, clean, and pre-analyze data so your time goes to judgment, not plumbing.

What We're Looking For

• 3+ years of quantitative analysis on a live product; free-to-play experience strongly preferred.
• Expert SQL.
• Real statistical judgment: experimental design, uncertainty, and the classic traps — selection effects, survivorship, immature cohorts. You know why a forward-filled ROAS curve lies.
• AI-fluent. You already use LLMs and agents daily in your analysis work, and you can show us how.
• You communicate like a decision is on the line: clear writing, plain language for non-technical audiences, and you always land on a recommendation.
• You actually play games — Candy Crush, Halo, or anything in between.

Nice to Have

• Redshift and Hex (our stack), or comparable warehouse/BI tools.
• LTV, payback, and predictive modeling; marketing analytics.