Staff Analytics Engineer - Data Product Leader

Sony Interactive Entertainment Inc. (Japan)

San Mateo (CA)

Hybrid

USD 224.000 - 300.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Medical benefits
Dental benefits
Vision benefits
401(k) matching
Paid time off
Wellness program
Employee discounts
Bonus potential

Zusammenfassung

Sony Interactive Entertainment LLC in San Mateo, CA is seeking a Staff Analytics Engineer to design and implement curated analytics data products (gold datasets) with clear ownership, versioning, and governed definitions to support multiple stakeholder groups.

You will work with data scientists and engineering teams to build scalable BI solutions using MicroStrategy and Tableau, develop data models and KPIs, and apply advanced analytics to improve model performance.

Qualifikationen

  • Master's degree in Computer Science or related field with six years of BI/analytics experience.
  • Proficient in Python, SQL and BI tools (Tableau, MicroStrategy) with data modeling.
  • Experience collaborating with data scientists and engineering teams; KPI design.

Aufgaben

  • Design and implement curated analytics data products with governance and ownership.
  • Develop scalable BI solutions from semantic layer to reporting for multiple stakeholders.
  • Collaborate with data scientists and engineering to ensure data quality and usability.
  • Lead experiments and KPI development to refine data models and insights.

Kenntnisse

Python
SQL
Tableau
MicroStrategy
Databricks
Data modeling
Experiment design
Statistical analysis
Data visualization
Collaboration

Ausbildung

Master's degree in Computer Science or related field

Tools

MicroStrategy
Tableau
Databricks

Jobbeschreibung

Sony Interactive Entertainment LLC in San Mateo, CA is seeking a Staff Analytics Engineer to design and implement curated analytics data products (gold datasets) with clear ownership, versioning, and governed definitions to support multiple stakeholder groups.

You will work with data scientists and engineering teams to build scalable BI solutions using MicroStrategy and Tableau, develop data models and KPIs, and apply advanced analytics to improve model performance.

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