Senior Product Analyst

We are seeking a Senior Product Analyst with extensive experience in data analytics, preferably within the mobile gaming or consumer app space. This role involves driving insights across player behavior, user acquisition, monetization, live-ops, and experimentation to support product and business growth. The ideal candidate will be skilled in SQL, dashboarding tools, and possess a strong understanding of mobile gaming KPIs. You will collaborate closely with product, live-ops, and marketing teams to deliver actionable recommendations that enhance player engagement, retention, and revenue.

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 and engagement opportunities, providing actionable insights 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 spend. Deliver post-campaign insights, monitor paid versus organic trends, and highlight top-performing creatives.

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

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 experiments across product features, monetization, and store surfaces. Define success metrics, validate test integrity, and provide data-driven recommendations. Maintain an experimentation backlog to prioritize and scale high-impact learnings.

Required Qualifications

- Minimum of 5 years’ experience in a data analyst or analytics role, preferably in mobile gaming or consumer apps.
- Proficient 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, UA, 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 without losing accuracy.

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 specific to 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 and product strategy, influencing key decisions that shape player experience and business outcomes in a dynamic, fast-paced environment.