Business Intelligence Developer, Take Two Interactive

• The ideal candidate has a solid foundation in SQL-based data analysis, has experience with Tableau Server/Online Administration
• 4+ years of hands-on experience with building BI solutions preferably in Tableau
• 2+ years of Tableau Server/Online administration experience, including user and permissions management, site configuration, workbook publishing, extract scheduling, and performance optimization of workbooks and data sources
• Solid SQL proficiency for data extraction, transformation, and analysis across relational databases and cloud data warehouses (e.g., Amazon Redshift, Snowflake)
• Experience conducting data analysis tasks including data cleaning, blending, aggregation, and root-cause investigation of data quality issues
• Strong communication skills with the ability to present data-driven insights clearly to non-technical stakeholders and senior leadership
• Comfortable working cross-functionally with business partners, data developers, and product teams in an agile environment to gather requirements and deliver BI solutions iteratively
• Bachelor’s degree or equivalent in Computer Science, Statistics, Data Analytics, Business Analytics, Information Systems, or a related field
• Tableau Desktop and Tableau Server/Online Administration — 2+ years (required)
• SQL — intermediate to advanced (required)
• Figma or equivalent design/prototyping tool (required)

Desirable

• Take-Two Interactive, Inc., a leader in the interactive entertainment industry, is looking for a talented Business Intelligence Developer to join a team responsible for transforming complex data into clear, actionable insights that drive decision-making across the organization
• Maintain and administer Tableau Server as a platform
• Build and optimize Tableau data sources, including live connections and scheduled extracts, ensuring high availability and rapid load performance
• Write, tune, and maintain SQL queries to extract, transform, and validate data from relational databases and cloud data warehouses
• Partner with business teams, product managers, and analysts to translate complex requirements into scalable BI solutions that support a mix of strategic, tactical and operational reporting to ensure intuitive and visually compelling user experiences
• Conduct exploratory data analysis to identify trends, anomalies, and opportunities that inform product and business decisions
• Define and enforce data visualization standards, naming conventions, and best practices to ensure consistency and scalability across all BI deliverables
• Evaluate and implement emerging AI and NLP tools, including Amazon Q, to enhance self-service analytics and natural language querying capabilities for business users
• Maintain clear documentation for dashboards, data sources, and analytical processes to support knowledge sharing, onboarding, and audit readiness