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Senior Product Analyst
Rakuten Viber. Identify opportunities for improvement through data analysis aligned with company strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data analysis and A/B testing to drive product and business decisions, with strong skills in SQL, Python, and data visualization tools. Proven ability to communicate complex data insights effectively to stakeholders and mentor analytical teams.
Highest-signal resume keywords
Data AnalysisA/B Testing DesignSQL ProficiencyPython ProgrammingData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisA/B TestingSQLPythonStatisticsCausal InferenceExperimental MethodologyData Visualization
Soft Skills
Communication SkillsStorytelling
Tools & Technologies
TableauLookerMatplotlibAI ToolsAutomation Tools
Industry Keywords
Consumer-Facing Digital ProductsEngagement-Driven Apps
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Identify opportunities for improvement through data analysis aligned with company strategy
- Partner cross-functionally to translate data findings into actionable product and business decisions
- Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations
- Build, automate, and maintain dashboards and reports tracking platform health, user behavior, and key trends
- Communicate findings clearly to stakeholders, influencing tactical and strategic decisions
- Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights
Requirements
What you’ll need- 6+ years of experience in analytics, preferably in consumer-facing digital products
- Strong command of SQL, Python, and data visualization tools such as Tableau, Looker, and Matplotlib
- Proven ability to design and analyze A/B tests and apply sound experimental methodology
- Strong understanding of leveraging AI to improve analysis speed, accuracy, and impact
- Excellent communication and storytelling skills; ability to craft a clear narrative from complex data
- Availability to work in a hybrid model, at least 3 days a week from the office
- Background in statistics, causal inference, or experimentation frameworks
- Experience mentoring analysts or leading analytical projects
- Interest in social, communication, or engagement-driven apps
Benefits
Comp & perks- Hybrid work model with at least 3 days a week from the office