Data Analytics Manager - Fenway District

About the Role

Key Responsibilities

• Leverage consumer analytics to understand customer purchasing behavior across Aramark's Sports + Entertainment venues in the Boston district, supporting Fenway Park, MGM Music Hall at Fenway, Citizens House of Blues Boston, and JetBlue Park.
• Analyze business performance data from a multitude of sources including labor tracking, Point of Sale, and inventory management systems to identify opportunities to improve operations and recommend data-driven action plans.
• Present data insights to senior management and clients clearly telling the data story and providing actionable recommendations.
• Lead the creation and development of key performance reporting to multiple stakeholders including the Aramark operations team and clients.
• Identify opportunities to create and meet consumer demand. Work with internal and external strategic partners to pilot new concepts to advance customer experience across venues.
• Partner with clients on conducting research on hospitality across premium, suites, and concessions consumers.
• Generate ad-hoc analyses to measure the outcome of short-term strategies. Work with cross-functional teams to define insights and analytics required to measure success.
• Innovate ways to streamline the collection and synthesis of information by improving business processes and organization.
• Design compelling data visualizations and reports to effectively present complex data insights to stakeholders and clients.
• Manage and mentor a team of data analysts, overseeing project deliverables, and fostering a culture of data-driven decision making.

Requirements

• Bachelor's degree is required in Mathematics, Statistics, Accounting or Finance or another scientific discipline. Master's degree a plus but not required.
• Minimum of 5-7 years of experience in an analytical function preferred.
• Excellent written and verbal skills and the ability to interface with multiple levels of management are essential.
• Strong organizational, project management and time management skills.
• Exhibits an analytical mindset, with curiosity to explore data to find new solutions or answers.
• Ability to effectively communicate findings, analysis, implications, and recommendations to varied stakeholder audiences.
• Moderate experience with SQL, Python, or R for data manipulation.
• Familiarity with AI in business context along with curiosity and drive to explore emerging AI technologies.
• Proven ability to lead and develop a team of data analysts.
• Extensive experience with the Microsoft Office package, specifically a high level of proficiency with Excel and PowerPoint.
• Experience developing in BI Tools (Ex. Power BI) a plus.

Nice to Have

• Experience developing in BI Tools (Ex. Power BI) a plus.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Accounting or Finance or another scientific discipline.