Senior Game Data Analyst

At A Thinking Ape, data is how we build and grow successful games. We've invested in self‑service analytics so teams can independently access, explore, and act on data - primarily through Looker models/dashboards and SQL via BigQuery.

As the Senior Game Data Analyst embedded in the Live Ops Product team, you turn that capability into outcomes. You'll deliver fast, high‑quality analysis and clear recommendations that improve engagement, retention, monetization, and ROAS across our live portfolio. You'll build and refine Looker explores and dashboards, validate hypotheses, measure feature and event impact, and produce BI that guides content cadence and major seasonal events. You balance enabling self‑service (models, dashboards, documentation, office hours) with delivering bespoke BI and deep dives on complex questions that require targeted analysis. You'll tackle complex, multi‑stakeholder questions and deliver clear, actionable insights for non‑data experts

.You are the dedicated analyst for Live Ops collaborating daily with product managers, designers, and live‑ops owners to define success metrics, surface opportunities, and close the loop from insight to action. There is no direct people leadership in this role, however mentoring and guiding non-analysts will be essential

**.

Responsibiliti**

esData Foundations & Governan

• ceDefine, document, and guard the Live Ops KPI metrics and leading indicators; ensure all dashboards reference canonical definition
• s.Partner with Data Engineering on telemetry schema design and upstream data models; review changes for semantic impact and flag risks early (no ETL/pipeline ownership
• ).Maintain a metric catalog and usage docs; manage Looker permissions and privacy/access control

**s.

Self‑Service & Looker Model**

• ingBuild/refine Looker explores, Looks, and dashboards atop BigQuery models to match producer and Live Ops workflo
• ws.Provide micro‑training and short guides to increase data literacy and drive self‑serve adopti
• on.Track dashboard usage; consolidate redundant assets and retire stale on

**es.

Decision Support & BI Deli**

• veryTranslate business questions into structured analyses and recommendations that drive engagement, retention, monetization, and R
• OAS.Produce weekly/monthly KPI readouts and executive summaries: what changed, why it changed, risk signals, and recommended acti
• ons.Build short‑horizon forecasts for major tentpoles (retention/ARPDAU/revenue) and scenario "what‑ifs"; compare actuals vs. plan and recommend next best acti

**ons.

Event & Feature Anal**

• yticsOwn pre‑/post‑mortems for seasonal events, sales, and feature launches; quantify impact vs. goals and propose next act
• ions.Create reusable playbooks (metrics, methods, templates) for recurring event types and content b

**eats.

Experimentation & Measu**

• rementPartner on experiment/holdout design, success metrics, and guardrails; check for SRM and apply variance‑reduction where appli
• cable.Analyze results with clear, non‑technical takeaways, confidence levels, and recommended next steps; track longer‑tail effects where rel
• evant.Set up monitoring for experiment health and data quality; document assumptions and limita

**tions.

Economy & Fraud Mon**

• itoringEstablish economy baselines (currency sinks/sources, inflation/deflation, price elasticity, inventory growth) with thresholds and on‑call pla
• ybooks.Partner with Live Ops and Engineering to implement and monitor fraud/abuse detection s

**ignals.

KPI Monitoring &**

• AlertingBuild alerts for anomalies in retention, ARPDAU, payer conversion, ROAS, and funnel health; investigate, triage, and escalate with recommende
• d fixes.Maintain monitoring dashboards that distinguish signal from noise; tune thresholds to minimize alert

**fatigue.

Cross‑Functional Collaboration & Craft L**

• eadershipWork daily with product managers, designers, UA, and Live Ops owners; translate insights into backlog items, roadmap adjustments, and even
• t tuning.Communicate trade‑offs, risks, and assumptions; ensure stakeholders understand confidence levels and lim
• itations.Provide mentorship on analytics best practices (SQL, Looker modeling, experiment design, data storytelling) to uplift the craft across

**the pod.

Re**

• quirementsE
  xperience: 4+ years in game analytics or live‑ops BI with a track record of influencing product decisions in F
• 2P mob
  ile.Tools: Advanced SQL (BigQuery) and Looker (semantic modeling + dashboarding); comfort with cohorting, funnels, payer segmentation, and revenu
• e metric
  s.Methods: Experiment design/analysis, statistical reasoning, impact sizing, and data storytelling tailored to non‑data
• audienc
  es.Domain: Strong grasp of F2P KPIs (D1/D7/D30 retention, ARPDAU, payer conversion, LTV, ROAS), game economy mechanics, and seasonal eve
• nt design.Nic
  e to have: Python for analysis/automation; familiarity with UA measurement/attribution (MMPs, MTA/MMM concepts); exposure to fraud/risk signals and chargeback

**analysis.

Key C**

• ompetenciesOwnership & Acco
  untability: Operates independently on ambiguous asks; manages priorities and communicates trade‑offs and
• timelines.Col
  laboration: Embedded partner to Product/Live Ops; aligns stakeholders and drives insight
• ‑to‑action.Speed &
  amp; Rigor: Balances fast turnarounds with sound methodology; documents assumptions and l
• imitations.Pro
  duct Sense: Connects player behavior to roadmap, event design, and monetizatio
• n strate
  gy.Clarity: Crafts concise narratives and visuals that enable decisions for non‑data

**audiences.

Succ**

• ess CriteriaTime
  ‑to‑Insight: SLA met for ad‑hoc and planned product requests (e.g., 48–72 hours for standard
• deep dives).Self‑Ser
  ve Adoption: ↑ monthly active users of priority Looker dashboards; ↓ bespoke requests where standardized
• views exist.Monitori
  ng Coverage: ≥ X% of portfolio KPIs and economy loops covered by automated monitors with documente
• d playbooks.Detection &am
  p; Response: Critical anomaly ≤ X hours; business decision ≤ Y hours afte
• r detection.Fraud &
  ; Integrity: Reduced chargeback/refund anomalies; exploit time‑to‑containment ≤ Z hours; maintain acceptable false‑po
• sitive rate.Benchma
  rk Accuracy: Quarterly review of baselines/benchmarks; ≤ X% variance between forecast and actual for m
• ajor events.Data Quality &am
  p; Releases: Zero breaking KPI definition changes; LookML/dashboard releases documented with change notes and rollback
• s availa
  ble.Cadence: On‑time delivery of event/feature post‑mortems and quarterly K

**PI readouts.

What's**

in it for youAt ATA you're offered a flexible, safe, inclusive environment in which you have the autonomy to do your best work, surrounded by a strong team and with the encouragement of supportive leadership that doesn't just care what you're doing, but how you're doing. You're trusted, respected, listened to, cared for and valued.You take on thought-provoking projects and tackle fun problems alongside people who are equally invested in making meaningful contributions and seeing new ideas come to life. You know how your work aligns with the company's goals. Your career is given the space and resources to progress. You accomplish things that make you proud.You are compensated competitively, your health and wellbeing are top priorities and you enjoy plenty of perks. You don't just work for ATA, you are an integral

**part of ATA.

Location: Remote within British Col**

umbia, Canada.We're building a distributed team across the province, work from anywhere in British Colombia We'll provide the equipment you need, and support setting up your home workspace. We'll supply the equipment you need to do your work and to set up your work space. We have a flexible work schedule, three weeks of vacation, flexible sick days, and a generous health ben

efits package.

At A Thinking Ape, we believe in fairness and pay transparency. That's why we offer a set salary for each level, ensuring that all employees in the same role are compensated equitably, regardless of negotiation skills or background. This means you'll know exactly what to expect from the start, without the stress of back-and-forth negotiations. For candidates located in British Columbia, the salary is CAD$75,000 for Intermediate Game Data Analyst and $118,000 for Senior Game Data Analyst reflecting our commitment to competitiv

**e and fair pay.

Our commitm**

ent to inclusionWe build communities. To do this to the best of our abilities, we need a workforce that reflects the diverse player communities we serve. We believe a variety of perspectives and experiences allows us to make better decisions and understand the needs of our players. We work hard to create an environment where everyone, from any background, can do their best work and feel like they belong at ATA.Please consider applying even if you don't meet every qualification and let us know if you require any accommodations or support during the recr

uitment process.Join our team and play a key role in shaping the future of mobile gaming If you're passionate about data analytics and gaming, we want to hear from you. Apply now to embark on an exciting

journey with us.