Role Summary:

The Director, Business Intelligence & Analytics will manage data & analytics for 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. This role will serve as a trusted resource and collaborator for leaders from the key business areas and help their data driven fan engagement efforts.

Role Responsibilities

Manage the organization’s data strategy and how we leverage data to drive key initiatives to produce revenue and fan engagement
Direct key predictive analytics functions, including sales forecasting, lead scoring, churn analysis, clustering and more
Use analytics to collaborate with department leaders to develop strategies that develop the business
Manage automation and standardization of reporting across all business verticals, including Ticketing, Premium, Corporate Partnerships, Finance, Retail, Operations, etc.
Oversee sales enablement systems (e.g., Salesforce CRM, Salesforce Marketing Cloud, etc.), and the workflows between them
Manage key initiatives that create growth and efficiency in ticket sales and service, including ticket pricing, lead generation, touchpoint management, etc.
Manage data integrity within internal business data warehouse, Salesforce and Salesforce Marketing Cloud systems and implement structure and process improvements
Manage Business Intelligence vendor relationships and identify areas where new vendors could provide additional value to the organization
Mentor Business Intelligence & Analytics employees; ensure their work exceeds expectations and identify avenues to grow their careers and responsibilities
Support the continuous development of business data warehouse by paving our data strategy, working with colleagues and vendors to develop ETL processes to acquire new data

Qualifications

7-10 years professional experience in business analytics or a related field
2+ years of managerial experience and developing talent
A degree in quantitative or business field, such as Mathematics, Statistics, Computer Science, or Economics
Advanced knowledge of SQL and relational databases
Advanced knowledge of data visualization tools such as Tableau
Advanced knowledge of Excel
Advanced knowledge of Python
Familiarity with data modeling ETL processes
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