Aramark Sports + Entertainment is looking to support data analysis of food and beverage trends at Oracle Park, home of the San Francisco Giants, to maximize opportunity.
Requirements
- Strong experience in data manipulation and transformation using Python, SQL, R, Excel, or others.
- Experience with relational databases such as Snowflake and SQL.
- Some experience with data science methods related to data cleaning, feature engineering, and predictive analytics.
- Experience working with Snowflake, PowerBI, Sigma
- Ability to say, “I don’t know” and quickly fill knowledge gaps.
- Extensive experience with the Microsoft Office package, specifically a high level of proficiency with Excel and PowerPoint
- Strong organizational, project management and time management skills
Responsibilities
- Leverage consumer analytics to understand customer purchase behavior at Oracle Park. Identify key consumer segments and summarize data-driven findings in a statistically robust and visual way that resonates with a variety of stakeholders and audiences.
- 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.
- 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.
- Lead the creation and development of automated workflows for key performance reporting to multiple stakeholders including the Oracle Park operations team and San Francisco Giants.
- Assist in the development of robust data pipelines using common programming languages like python, R, and SQL.
- Using analytical rigor, synthesize data across Aramark’s portfolio to derive trends, developing case studies and best practice reports to share with operators and clients.
- Strong experience in data manipulation and transformation using Python, SQL, R, Excel, or others.
Other
- Ideal candidate has a bachelor’s degree in mathematics, Statistics, Data Science, or Economics. Master’s degree a plus but not required.
- Minimum of 1-3 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.
- Ability to effectively communicate findings, analysis, implications, and recommendations to varied stakeholder audiences
- Strong organizational, project management and time management skills
