Senior Data Analyst

We are seeking a Senior Data Analyst with extensive experience in mobile gaming or consumer app environments to join our team. This role focuses on delivering deep analytical insights across player behavior, user acquisition, monetization, live-ops, and experimentation. The ideal candidate will be skilled in data querying, dashboard creation, and statistical analysis, enabling data-driven decisions that enhance player engagement, retention, and revenue growth.

Key Responsibilities

Player Behaviour & Retention Analytics: Develop and maintain dashboards that track player health, retention, engagement, and churn. Conduct cohort, funnel, and segmentation analyses to reveal behavioral patterns. Identify risks of churn and opportunities for engagement, providing actionable insights to product and live-ops teams.

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

Monetisation & Revenue Analytics: Monitor revenue streams across in-app purchases (IAP), geographies, platforms, and player segments while tracking key monetization metrics. Develop lifetime value (LTV) models, evaluate IAP offer performance, and identify high-value payer groups to maximize revenue. Reconcile platform revenue, investigate anomalies, and provide recommendations to support monetization strategies.

Live-Ops & Event Tracking: Oversee live-ops event tracking, ensuring accurate data instrumentation and real-time monitoring. Analyze event impact on engagement, retention, and revenue through pre- and post-event KPI assessments. Maintain historical event performance data and deliver timely reports with actionable recommendations.

A/B Testing & Experimentation: Design, implement, and analyze A/B and multivariate tests across product features, monetization, and store interfaces. Ensure statistical rigor by defining success metrics, validating test integrity, and providing data-driven recommendations. Manage an experimentation backlog to prioritize and scale impactful findings.

Required Qualifications

- Minimum of 5 years’ experience as a data analyst, preferably within mobile gaming or consumer apps.
- Proficient in SQL with the ability to write complex queries involving joins, window functions, aggregations, and subqueries independently.
- Strong skills in Excel or Google Sheets for ad-hoc analysis and reporting.
- Experience using at least one BI or dashboarding 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 define analytical questions, structure approaches, and deliver clear, actionable outputs.
- Excellent written and verbal communication skills, capable of presenting findings clearly to non-technical stakeholders without sacrificing accuracy.

Preferred Qualifications

- Experience with Python or R for data manipulation, statistical analysis, or modeling.
- Hands-on expertise 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 specifically for mobile games.
- Knowledge of mobile game monetization models including IAP, subscriptions, battle passes, and ad monetization.
- Exposure to live-ops analytics or 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 through data-driven insights in a dynamic, fast-paced environment focused on mobile gaming innovation.