Sr. Manager, Analytics

Senior Manager, Analytics

Overview

We are seeking a highly strategic and hands-on Senior Manager of Analytics to lead a growing analytics function within a premier sports and entertainment organization. This individual will serve as a key partner to executive leadership, business stakeholders, and technology teams, transforming data into actionable insights that drive revenue growth, fan engagement, operational efficiency, and strategic decision-making.

The ideal candidate will possess a strong blend of business acumen, technical expertise, and leadership experience, with a proven ability to build scalable analytics solutions and influence stakeholders across multiple departments.

Responsibilities:

Analytics Leadership & Strategy

• Lead and mentor a team of analysts, fostering a data-driven culture across the organization.
• Develop and execute the company's analytics roadmap aligned with business objectives.
• Partner with executive leadership to identify opportunities where analytics can drive measurable business impact.
• Establish KPIs, reporting frameworks, and performance measurement methodologies across key business functions.

Business Intelligence & Reporting

• Oversee the development and maintenance of executive dashboards, reports, and self-service analytics tools.
• Deliver actionable insights related to ticket sales, sponsorship performance, marketing effectiveness, fan engagement, digital products, and operational performance.
• Create recurring executive-level reporting packages and presentations for senior leadership.

Fan, Marketing & Revenue Analytics

• Analyze fan behavior across ticketing, CRM, digital, and marketing platforms to identify growth opportunities.
• Partner with marketing teams to measure campaign performance, audience segmentation, customer acquisition, retention, and lifetime value.
• Support revenue-generating functions including ticketing, premium seating, partnerships, merchandise, and concessions through advanced analytics and forecasting.

Data & Cross-Functional Collaboration

• Collaborate closely with Data Engineering, Product, Technology, Finance, and Business Operations teams to ensure data integrity and accessibility.
• Translate complex business questions into analytical frameworks and scalable solutions.
• Partner with stakeholders to prioritize analytics initiatives and deliver impactful recommendations.

Advanced Analytics & Forecasting

• Develop predictive models and forecasting methodologies to support business planning and strategic initiatives.
• Conduct ad hoc analyses to identify trends, opportunities, and risks.
• Leverage statistical analysis, experimentation, and data storytelling techniques to influence decision-making.

Qualifications

• 7+ years of experience in Analytics, Business Intelligence, Data Analytics, or a related field.
• 3+ years of people management experience leading high-performing analytics teams.
• Advanced SQL skills with the ability to work across large, complex datasets.
• Experience developing dashboards and visualizations using Tableau, Power BI, Looker, or similar BI tools.
• Strong experience with Python and/or R for advanced analytics and automation.
• Proven ability to communicate insights effectively to executive and non-technical audiences.
• Experience working cross-functionally with Marketing, Product, Finance, Technology, and Operations teams.
• Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Business, or a related field.

Preferred

• Experience within professional sports, sports betting, media, entertainment, ticketing, or consumer-facing digital businesses.
• Familiarity with CRM platforms, customer data platforms (CDPs), and marketing analytics tools.
• Experience with cloud data environments such as Snowflake, Databricks, AWS, Azure, or Google Cloud.
• Knowledge of predictive modeling, machine learning, customer segmentation, and experimentation frameworks.
• Master's degree in a quantitative discipline.

Technical Environment

• SQL
• Python
• Tableau / Power BI / Looker
• Snowflake
• Databricks
• AWS / Azure / GCP
• dbt
• Google Analytics / Adobe Analytics
• CRM Platforms (Salesforce, Dynamics, HubSpot, etc.)
• Jira / Confluence