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 insights across player behavior, user acquisition, monetization, live-ops, and experimentation. The ideal candidate will be skilled in advanced data analysis, dashboard creation, and cross-functional collaboration to drive product optimization and business growth.

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 extract behavioral insights. Identify churn risks and engagement opportunities, providing actionable recommendations to product and live-ops teams.

User Acquisition & 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: Monitor and report revenue across in-app purchase (IAP) products, geographies, platforms, and player segments. Develop lifetime value (LTV) models, evaluate IAP offer performance, and identify high-value payer segments to enhance monetization strategies. Reconcile platform revenue, investigate anomalies, and provide insights to support monetization decisions.

Live-Ops & Event Tracking: Oversee live-ops event tracking, ensuring accurate instrumentation and real-time monitoring. Measure event impacts on engagement, retention, and revenue through pre- and post-event analyses. Maintain event performance history and produce 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 to prioritize and scale impactful learnings.

Required Qualifications

- Minimum of 5 years’ experience in a data analyst or analytics role, preferably within mobile gaming or consumer apps.
- Proficiency in SQL with the ability to write 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 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, user acquisition, and monetization.
- Ability to independently scope analytical questions, structure approaches, and deliver clear outputs with actionable recommendations.
- Excellent written and verbal communication skills, capable of presenting findings to non-technical stakeholders clearly and accurately.

Preferred Qualifications

- Experience with Python or R for data manipulation, statistical analysis, or modeling.
- Hands-on experience 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.
- Experience building or maintaining LTV models specifically for mobile games.
- Knowledge of mobile game monetization structures, 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 or 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 work at the intersection of data science and product strategy, influencing key business decisions and player experiences in a dynamic, fast-paced environment.