Data Analyst diving deep into data for player behavior insights to shape future games at Hyper Hippo Entertainment. Creating predictive models, dashboards, and reports for business strategies.
About the role
- Senior Product Data Analyst at TapNation analyzing performance metrics and providing actionable insights for mobile games. Collaborating with Product teams and ensuring data-driven decisions.
Responsibilities
- Conduct deep-dive data analysis to understand user behavior, feature adoption, monetization drivers, and overall game performance (e.g., retention, engagement, conversion).
- Design, develop, and maintain efficient and trustworthy dashboards (primarily in Looker) to monitor key Product KPIs, providing the Product team with self-service, real-time insights.
- Partner with the Product team to design, execute, and analyze A/B tests and other experiments, ensuring statistical rigor and clear interpretation of results.
- Proactively identify opportunities for product improvement and provide data-driven recommendations to inform the product roadmap and strategy.
- Work closely with Data Engineering to ensure data accuracy, integrity, and accessibility for product analysis.
- Act as an enthusiast for Generative AI, exploring how emerging AI technologies can be leveraged to enhance product analysis workflows or contribute to future product features.
Requirements
- Proven, senior-level experience as a Data Analyst, specifically supporting a Product team.
- Deep data analysis skills with the ability to structure, analyze, and interpret complex data to provide clear, actionable insights.
- Strong familiarity with mobile gaming industry concepts and metrics (e.g., DAU, MAU, ARPDAU, LTV, Retention Curves, Funnels).
- Expert proficiency in SQL for complex querying and data manipulation.
- Hands-on experience with Google Cloud BigQuery (or similar cloud data warehouses).
- Proficiency with DBT (data build tool) for data transformation, modeling, and maintaining data quality.
- Expert in data visualization and dashboarding using tools such as Looker (preferred), Tableau, or Power BI.
- English native or fluent —excellent written and oral communication skills to present complex findings to non-technical stakeholders.
Benefits
- 27 days paid time off per year without losing fees
- Remote policy: full remote
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Manager leading Supply Finance & Analytics for Sodexo in Canada. Driving financial performance, data analysis, and collaboration with supply chain and procurement functions.
Senior Manager, Supply Finance & Analytics leading financial governance and analysis for Sodexo Canada. Maximizing vendor funding performance and enhancing supply chain financial strategies.
LP
Sr. Data Analyst
LinkedIn Recruiter Post
Hiring Sr. Data Analyst (Part Time) in Canada. Must have 7+ years data analysis experience and 10+ years healthcare experience.
LP
Data Entry Operator – Proficient
LinkedIn Recruiter Post
Hiring Data Entry Operator for 4 - month contract with top 5 bank in Toronto. Requires advanced Excel and 2+ years financial experience.
Senior Data Analyst at Chess.com uncovering insights from data to drive product innovation and business growth. Collaborating with cross - functional teams and utilizing modern analytical tools.
Senior Data Analyst driving Next Best Action strategies using advanced analytics for banking products. Collaborating to enhance customer engagement, onboarding, and financial performance in a fintech environment.
Transformational Business Analyst handling data integrations and process transformations for Canadian benefits operations at General Motors. Collaborating with teams to improve efficiencies and support ongoing projects in a hybrid role.
Senior Data Analyst at Autodesk transforming product data into actionable insights. Collaborating with cross - functional teams to improve customer engagement and product performance.
Data Scientist optimizing revenue performance across customer lifecycle for Autodesk. Collaborating with Marketing, Finance, and Product teams for statistical models and analytical frameworks.