Senior Analytics Engineer

Senior Analytics Engineer Overview

Join Sony Interactive Entertainment as a Senior Analytics Engineer and play a pivotal role in designing, building, and scaling our analytics platform. This hands-on position is ideal for individuals who thrive in greenfield analytics projects and possess strong opinions on data modeling and architecture. You will collaborate closely with stakeholders to convert business challenges into reliable, well-governed data products.

In this role, you will be part of the PlayStation Partners Platform, delivering comprehensive data, reporting, and analytics solutions that assist partners globally in game and content development for PlayStation. Our goal is to provide timely, scalable, and high-quality data insights that facilitate data-driven decision-making, enhance operational efficiency, and identify revenue opportunities.

Key Responsibilities

• Design, build, and maintain analytics-ready data models using dbt, adhering to best practices for modularity and reusability.
• Lead the development of new analytics assets, managing the process from raw data ingestion to creating business-facing models.
• Utilize strong data modeling techniques, including dimensional modeling and appropriate design patterns.
• Oversee and enhance the analytics layer architecture to ensure scalability with increasing data volumes and business complexities.
• Ensure data quality and reliability through thorough testing, documentation, and observability within dbt.
• Collaborate closely with business stakeholders, analysts, and product teams to gather requirements and translate them into effective data models.
• Act as a trusted advisor to stakeholders, helping them understand data capabilities and collaboratively shaping their requirements.
• Define and implement dbt standards, including naming conventions, model layering, and testing strategies.
• Contribute to decisions regarding data architecture, including warehouse design and schema organization.
• Enhance developer experience through improved tooling and modern analytics engineering workflows.
• Maintain expertise in the analytics technology stack to ensure optimal performance and feature utilization.

Required Skills

• Demonstrated experience in delivering data products, analytics, and visualizations using Business Intelligence tools like Domo, Tableau, Power BI, or Qlik.
• Strong hands-on experience with dbt, including data model design, testing, and documentation.
• Excellent data modeling skills across various models, including both third normal form and dimensional modeling.
• Advanced SQL proficiency and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Proven ability to design analytics models that are both technically sound and user-friendly.
• Experience in building new analytics platforms or significantly enhancing existing ones.
• Knowledge of data quality and observability practices, particularly using dbt or similar tools.
• Familiarity with orchestration tools like Airflow, Dagster, or Prefect.
• Experience with semantic layers and analytics consumption patterns.
• Exposure to data governance and analytics enablement at scale.
• Experience mentoring junior analytics engineers or analysts.
• Strong history of effective collaboration with business teams to achieve desired outcomes.
• Undergraduate degree in a relevant field or equivalent combination of education and experience.

Benefits

• Opportunity to work in a dynamic and innovative environment.
• Access to cutting-edge technology and tools.
• Collaborative culture that values diversity and inclusion.
• Support for professional development and career growth.

Degree Requirement: Bachelor’s

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