Senior Product Analyst (Mobile Gaming)

Location: Not specified

Company

hirify.global is a mobile gaming company and part of Microsoft, creating mobile games including the Candy Crush franchise and serving around 200 million players each month.

What you will do

• Own the end-to-end experimentation lifecycle, from problem formulation and hypothesis design through analysis, readouts, recommendations, and follow-up.
• Analyse player behaviour to identify opportunities across monetisation, retention, player experience, and the wider player journey.
• Support pricing, offers, promotions, and in-game economy decisions by measuring conversion, revenue, player value, currencies, rewards, sinks, and sources.
• Define trachirify.global specifications, events, and metrics; maintain data integrity, observability, reporting, and data quality at live-game scale.
• Build and maintain Looker dashboards and reporting frameworks, and write performant SQL in BigQuery.
• Partner with Product, Design, Engineering, and Data Science while sharing knowledge and mentoring junior analysts.

Requirements

• Strong analytical and problem-solving skills with experience deriving insights from behavioural or product data.
• Strong SQL skills and confidence worhirify.global independently with large datasets; BigQuery is preferred.
• Experience with experimentation and A/B testing, including experiment design, result interpretation, and product recommendations.
• Experience building dashboards and self-service analytics in Looker or a comparable BI tool.
• Clear communication through data visualisation and evidence-based recommendations, with the ability to work cross-functionally.
• Independence, initiative, and willingness to own ambiguous product problems, trachirify.global, observability, and data quality.

Nice to have

• Good understanding of statistics and experiment-result interpretation.
• Python or R for analysis, automation, or modelling.
• Experience with Claude, ChatGPT, or Codex for analysis, reporting, prototyping, and communication.
• Experience in games, live-service products, or other fast-moving consumer products.

Culture & Benefits

• Work in a fast-paced live-game environment with complex, ambiguous product problems.
• Collaborate closely with Product, Design, Engineering, Data Science, and Analytics.
• Contribute to shared analytics standards, data definitions, knowledge sharing, and mentoring.
• Use AI tools to accelerate analysis, reporting, and communication.