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Analyst, Product AnalyticsOpen to hiring for either our Los Angeles or San Diego locations.
Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data discovery, KPI design, target setting, measurement planning, and impact assessment.
Responsibilities- Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans.
- Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed.
- Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary.
- Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions.
- Collaborate with data scientists on research and innovation, applying standard processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling.
- Work with the reporting team to define and create automated and self-serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives.
Qualifications- Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 2+ years of professional experience in data analysis. A related Master's Degree is a plus.
- 2+ years of experience working with product, business, or partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis. Familiarity with quasi-experimental causal inference methodologies is a plus.
- 2+ years of relevant experience in data analysis with advanced SQL skills. Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is required. Proficiency in Python and/or R for statistical analysis and data modeling is highly preferred.
- Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k-means clustering) is preferred.
- Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners. Expert skills in Microsoft Office applications, including Word, Excel, Access, Project, and PowerPoint.
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Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here to learn more.
The estimated base pay range for this role is listed below.
$121,300-$181,900 USD
Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
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