Senior Director, Business Intelligence & Analytics

New York Islanders Hockey Club LP•Village of Floral Park, NY

just now•$155,000 - $185,000•Hybrid

About The Position

The Senior Director, Business Intelligence & Analytics will set the strategy, roadmap and operating model for data & analytics across the New York Islanders & UBS Arena. This position will be responsible for designing, implementing, and maintaining best-in-class solutions to understand and activate our business data. The Senior Director should be hands-on in the data, assisting with data visualization, writing queries and managing day-to-day analytics work. This role will serve as a trusted resource and strategic advisor for leaders from the key business areas and help their data driven fan engagement efforts.

Requirements

8-12 years professional experience in business analytics or a related field
4+ years of managerial experience and developing talent
Advanced knowledge of SQL and relational databases; comfortable with being hands-on
Advanced knowledge of data visualization tools such as Tableau
Advanced knowledge of Snowflake, Salesforce (Sales & Marketing Cloud), or similar platforms
Advanced knowledge of Python
Experience with experimentation frameworks (e.g., A/B testing) and attribution or marketing measurement methodologies to evaluate campaign and pricing performance
Familiarity with data modeling and ETL processes
Willingness to roll up sleeves on ad-hoc requests and day-to-day reporting, not just long-term roadmap and team oversight
Ability to think critically and find solutions to complex problems
Excellent ability to translate complex analytical concepts into business terms
Demonstrated ability to manage and deliver on multiple competing priorities simultaneously

Nice To Haves

Advanced degree preferred

Responsibilities

Personally lead the analytics across the business, with a focus on ticketing, including ownership of pricing, optimization, yield management, and revenue projections
Partner with senior leadership across sales, marketing, and ticket operations to align pricing and go-to-market strategies
Provide decision support through ad-hoc and scenario analysis; identify and act on opportunities to improve analytic capabilities across the ticketing business, often turning around same-day requests directly
Develop advanced audience and targeting strategies to support personalization, lifecycle marketing, paid media optimization, and conversion initiatives
Apply advanced data modeling, predictive analytics, and statistical techniques to uncover trends and translate insights into initiatives that drive measurable business outcomes
Design, build, and maintain enterprise dashboards and analytical reports that track KPIs and evaluate the ROI of marketing, sales, partnerships, and operational strategies
Partner on audience research, segmentation, persona development, and more to capture fan, customer, and partner sentiment and strengthen targeting, personalization, and sponsorship storytelling
Build predictive models to forecast revenue and consumer behavior
Own and execute the organization's data strategy, ensuring data-driven insights are actionable, embedded into decision-making, and built to help scale /support the organization's AI transformation
Be an organizational champion on data quality, acquisition, and governance, ensuring the organization consistently leverages clean, connected, and enriched data assets
Collaborate with our data partner and data engineer to own the business data warehouse and ETL infrastructure, working to acquire and integrate new data and translate data into actionable insights
Partner with Finance and Technology leadership on capital planning and investment prioritization for data infrastructure, analytics platforms, and fan intelligence tools
Design and scale the BI team's organizational structure — including role definition, hiring plans, and capability development — to meet the evolving analytics needs of the organization, while leading, developing, and mentoring team members with clear goals and professional development plans
Collaborate cross-functionally with marketing, ticketing, partnerships, finance, and operations to identify analytical needs and maximize business impact
Serve as a trusted advisor to senior leadership, translating complex data findings into clear, actionable recommendations that inform key business decisions
Establish and lead a recurring business review cadence with senior leadership, reporting on KPI performance, ROI, and emerging risks or opportunities across ticketing, marketing, and partnership analytics
Own and oversee business intelligence strategy, budget & planning
Partner with organizational AI leadership to identify, evaluate, and pilot opportunities for applying AI/ML to fan intelligence, pricing, and business analytics use cases