Responsibilities

• Data Architecture (Setting Up For Success)
• - Lead the design and implementation of scalable data models, ETL pipelines, and analytics frameworks
• - Own end-to-end data workflows across cloud environments (e.g., Redshift, Snowflake, AWS)
• - Ensure data quality, integrity, and performance across client solutions
• Insight (Fan & Consumer Understanding)
• - Analyze fan and consumer data, including behavior, segmentation, and lifecycle insights
• - Identify trends and opportunities across the fan journey to uncover drivers of engagement and value
• - Synthesize complex datasets into clear, actionable insights that inform decision-making
• Strategy (Turning Insight into Action)
• - Translate fan data into strategies that drive ticketing revenue, fan engagement, retention, and lifetime value

Requirements

• 4-6 years of experience in consulting, data analytics, CRM strategy, or a related field
• Experience working with consumer or fan data, including segmentation, targeting, or lifecycle analysis
• Strong proficiency in SQL and Python for data analysis and modelling
• Experience building and maintaining ETL pipelines and data workflows
• Strong analytical skills (Excel, SQL, BI tools, or similar)
• Ability to synthesize complex data into clear, actionable insights and recommendations
• Strong communication and storytelling skills, with experience creating client-facing materials
• Client-focused mindset with the ability to build relationships and influence stakeholders
• Experience managing or mentoring team members
• Ability to manage multiple priorities in a fast-paced environment

Preferred

• Experience in sports, entertainment, or fan-driven businesses is preferred