Senior Data Analyst - Pittsburgh District

Job Responsibilities

• Build strong working relationships with clients, functioning as a reliable analytical resource for strategic planning and performance review needs.
• Present data insights to senior management and clients clearly, telling the data story and providing actionable recommendations.
• Partner with clients on conducting research on hospitality across premium, suites, and concessions consumers. 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.

Analysis and Reporting

• 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.
• Create compelling data visualizations and reports to effectively present complex data insights to stakeholders and clients.
• Led the creation and development of key performance reporting to multiple stakeholders including the Aramark operations team and clients.
• 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.

Strategic Insights and Improvements

• Leverage consumer analytics to understand customer purchasing behavior across Aramark’s Sports + Entertainment venues in the Pittsburgh district.
• Support development of pricing, product mix, and placement that drive revenue and fan satisfaction alike.
• Innovate ways to streamline the collection and synthesis of information by improving business processes and organization.
• Stay informed on emerging AI tools, technology, and industry best practices to implement in order to meet Aramark Data Science's business goals.

Qualifications

• 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 3-5 years of experience in an analytical function preferred.
• Advanced analytical ability and spreadsheet modeling skills are required.
• 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.
• 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.
• Ability to effectively communicate findings, analysis, implications, and recommendations to varied stakeholder audiences.
• Extensive experience with the Microsoft Office package, specifically a high level of proficiency with Excel and PowerPoint.
• Experience in developing BI Tools (e.g. Power BI) a plus.