обновлено 4 дня назад
Senior Product Analyst
152 100 - 228 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Analyst (Product Analytics): Driving end-to-end product analytics for the PlayStation platform with an accent on KPI design, experimentation, and actionable data insights. Focus on leading A/B tests, integrating analytical data with SQL and Python/R, and building automated dashboards for product decision-making.
Location: Hybrid role based in San Mateo, Los Angeles, or San Diego, California
Salary: $152,100–$228,100 USD per year
Company
develops the PlayStation hardware, network services, and entertainment experiences.
What you will do
- Partner with product feature teams to translate roadmaps and initiative goals into KPIs, targets, and measurement plans.
- Extract and integrate data from multiple sources with data product, engineering, data science, and analytics teams.
- Lead A/B test experiments, validate data, monitor results, and provide feature release recommendations.
- Analyze business questions through segmentation, exploratory analysis, driver identification, and actionable insight generation.
- Collaborate with data scientists on research, analytics methodologies, digital tools, visualization, and analytical storytelling.
- Define and create automated, self-serve dashboards with the reporting team.
Requirements
- Bachelor’s degree in statistics, mathematics, analytics, data science, business, economics, or a related field, plus 3+ years of relevant data analysis experience.
- Experience with product or business partner teams, experiments, A/B testing, holdout groups, and multivariate analysis.
- Advanced SQL and proficiency in Python or R.
- Strong understanding of statistical concepts such as confidence intervals and hypothesis testing.
- Excellent written and verbal communication skills, including presenting analytical results to non-technical partners.
Nice to have
- Master’s degree in a related field.
- Experience with quasi-experimental causal inference methodologies.
- Experience with Adobe Analytics and BI tools such as MicroStrategy, Tableau, or Domo.
- Knowledge of multivariate or linear regression and k-means clustering.
Culture & Benefits
- Hybrid working policy.
- Medical, dental, and vision coverage.
- Matching 401(k), paid time off, and wellness program.
- Employee discounts on Sony products.
- Potential eligibility for a bonus package.
Hiring process
- Background checks are conducted at the offer stage, potentially including criminal background checks.
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