Senior BI & Visualisation Developer

Description

The company is Sony Interactive Entertainment's PlayStation business, a subsidiary of Sony Group Corporation. It makes PlayStation hardware and network services used by more than 100 million people, and it owns a large set of well-known entertainment intellectual properties (IP).

The role is a senior BI position that leads analytics solutions and data experiences that move the business from insight to action at scale. You work across business, analytics and engineering, turning complex data problems into scalable, easy-to-use solutions. You act as a senior full stack BI developer and subject matter expert for one business domain. You work with the BI Manager, the Central BI Team and Data Engineering to set technical direction, mentor junior colleagues, and make sure solutions follow best practice and enterprise standards.

Responsibilities

• Help the BI Managers shape the analytics vision, strategy and roadmap. Lead your own workstreams and influence priorities so they match organisational goals.
• Turn vague business questions into structured, scalable analytics solutions.
• Build quick prototypes to collect early stakeholder feedback and iterate fast to shorten time to insight. Model agile delivery for the team.
• Work with Data Engineering to design and build end-to-end BI solutions, covering ingestion, modelling and visualisation. Set technical standards and design patterns that scale across the team and the enterprise.
• Build fast, maintainable dashboards and reports with modern BI tools such as DOMO, Tableau and Looker.
• Own and improve the domain data models that support reliable, consistent reporting. Run peer reviews to keep the team's solutions high quality and maintainable.
• Push standardisation of analytics solutions. Lead work with the Central BI Team to turn them into enterprise-wide capabilities.
• Develop reusable components, templates and frameworks for the shared analytics library, and drive their adoption across the BI team.
• Set and defend consistent KPI definitions and reporting standards within the business domain.
• Agree domain data models and KPI definitions with the Central BI Team and business stakeholders.
• With the Central BI Team and Data Engineering, find, investigate and fix data quality issues. Lead root cause analyses and own remediation plans that stop problems returning.
• Make sure data lineage, documentation and governance are created and kept up to date for every solution you own.
• Be a trusted analytics partner for business stakeholders, turning data into clear, actionable stories.
• Lead demos, training and enablement workshops. Build scalable self-service programmes that drive wide adoption of BI tools and solutions.
• Collect and synthesise stakeholder feedback to keep improving analytics products. Turn it into prioritised enhancements on the team roadmap.

Requirements

• A bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics or a related field, or equivalent practical experience.
• 8+ years of hands-on experience in Business Intelligence, Data Analytics or a closely related role, with a clear increase in scope and complexity over time.
• A proven record of delivering enterprise-scale analytics solutions that shaped strategic decisions and produced measurable results.
• Expert-level skill in one or more major BI platforms, such as DOMO, Tableau or Looker.
• Expert SQL: complex queries, window functions, CTEs and query optimisation.
• Experience with cloud data platforms such as Snowflake, Azure Synapse, BigQuery or Databricks.
• Deep knowledge of data modelling: star and snowflake schemas, dimensional modelling, semantic layers and performance tuning at scale.
• Experience using Python or R for data wrangling and exploratory analysis.
• Ability to break complex business problems down into clear analytics requirements.
• Experience defining and documenting KPIs and business metrics with stakeholders.
• Proven skill presenting data-driven insights to both technical and non-technical audiences.
• Strong written, verbal and visual communication, including data storytelling.
• Comfort working through ambiguity and iterating with stakeholders.
• Strong cross-functional collaboration. Experience working with a COE is a plus.
• A self-starter with a drive for continuous improvement and close attention to detail.

Conditions

The company runs background checks at the offer stage for all new hires. For some roles these may include criminal background checks, and personal information will be processed for this purpose.