Senior Data Analyst

We are seeking a Senior Data Analyst with extensive experience in mobile gaming or consumer app environments to join our team. The ideal candidate will be responsible for delivering actionable insights across player behavior, user acquisition, monetization, live-ops, and experimentation. This role requires strong analytical skills, proficiency in SQL, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. You will play a key role in shaping product decisions and optimizing business performance through data-driven strategies.

Key Responsibilities

Player Behaviour & Retention Analytics:
Develop and maintain dashboards to monitor player health, retention, engagement, and churn. Conduct cohort, funnel, and segmentation analyses to uncover behavioral patterns. Identify churn risks, engagement opportunities, and anomalies, providing actionable recommendations to product and live-ops teams.

User Acquisition (UA) & Paid Channel Performance:
Manage UA performance reporting across paid channels, tracking acquisition, conversion, and ROAS metrics. Build attribution dashboards and analyze campaign, channel, creative, and geographic performance to optimize marketing efforts. Deliver post-campaign insights, monitor paid versus organic trends, and highlight top-performing creatives.

Monetisation & Revenue Analytics:
Track and report revenue across in-app purchase (IAP) products, geographies, platforms, and player segments while monitoring key monetization KPIs. Develop lifetime value (LTV) models, analyze IAP offer performance, and identify high-value payer segments to enhance monetization strategies. Reconcile platform revenue, investigate discrepancies, and provide insights to support revenue decisions.

Live-Ops & Event Tracking:
Own live-ops event tracking, ensuring accurate instrumentation and real-time monitoring. Measure event impact on engagement, retention, and revenue through pre- and post-event analyses. Maintain event performance history and deliver timely reports with actionable recommendations.

A/B Testing & Experimentation:
Design, execute, and analyze A/B and multivariate tests across product features, monetization, and store surfaces. Ensure statistical rigor by defining success metrics, validating test integrity, and delivering data-driven recommendations. Maintain an experimentation backlog and log to prioritize and scale impactful learnings.

Required Qualifications

- Minimum of 5 years’ experience as a data analyst, preferably in mobile gaming or consumer apps.
- Proficient in SQL, capable of writing complex queries involving joins, window functions, aggregations, and subqueries.
- Strong skills in Excel or Google Sheets for ad-hoc analysis and reporting.
- Experience with at least one BI/dashboard tool such as Tableau, Looker, or Mode.
- Familiarity with mobile attribution platforms like AppsFlyer, Adjust, or Singular.
- Solid understanding of core mobile gaming KPIs related to retention, UA, and monetization.
- Ability to independently scope analytical questions, structure approaches, and deliver clear, actionable outputs.
- Excellent written and verbal communication skills, able to present findings clearly to non-technical audiences without sacrificing accuracy.

Preferred Qualifications

- Experience with Python or R for data manipulation, statistical analysis, or modeling.
- Hands-on expertise in designing and analyzing A/B tests with statistical rigor, including confidence intervals, p-values, and minimum detectable effect (MDE) calculations.
- Familiarity with event-level data pipelines such as Firebase, GameAnalytics, Amplitude, Mixpanel, or custom customer data platforms (CDPs).
- Experience building or maintaining LTV models for mobile games.
- Knowledge of mobile game monetization models including IAP, subscriptions, battle passes, and ad monetization.
- Exposure to live-ops analytics and seasonal event measurement.
- Experience working with cloud data warehouses like BigQuery, Snowflake, Redshift, or Databricks.

Tools & Platforms

- Query & Analysis: SQL (BigQuery, Snowflake, Redshift), Python/R (preferred)
- BI & Dashboards: Tableau, Looker, Mode, Google Data Studio
- Attribution: AppsFlyer, Adjust, Singular
- Event Analytics: Amplitude, Mixpanel, Firebase, GameAnalytics
- Store Consoles: App Store Connect, Google Play Console
- Paid UA Reporting: Meta Ads Manager, Google UAC, TikTok Ads, Apple Search Ads
- Spreadsheets: Google Sheets, Excel
- Project Management: Jira, Asana, Notion

This role offers the opportunity to influence key business decisions and work closely with cross-functional teams in a dynamic, fast-paced environment. If you are passionate about leveraging data to drive growth and player engagement, we encourage you to apply.