Junior Data Engineer

Augusta National Golf Club•Augusta, GA

1d•Onsite

About The Position

Reporting to the Senior Director, Data Analytics and supporting the organization, the Data Analyst is responsible for leveraging data to uncover insights and contribute to decision making throughout Augusta National Golf Club, the Masters Tournament and the Masters Tournament Foundation. The Data Analyst will drive continuous improvement by supporting the creation of the next generation of metrics and statistical models for the Club. This position is a full-time, on-site role in Augusta, GA.

Requirements

Ability to leverage a programming language (ex: Python) throughout the whole data analysis process
Ability to navigate large data sets through the writing of advanced SQL queries
Ability to visualize data with BI reporting tools such as Power BI and Tableau
Ability to communicate methodology and findings to both technical and non-technical stakeholders
Brings a curious mindset to explore and pursue innovative solutions
Comfortable in an ambiguous environment and ability to adapt to change and work independently
Strong team player that works confidently with cross functional partners and management on all aspects of the business
Possess a valid driver’s license and/or successfully completes the Club’s internal motor vehicle training program
Applicants must be legally authorized to work in the United States at the time of hire. We are unable to provide visa sponsorship for this position.

Nice To Haves

Masters degree is a plus
Industry experience within sports management, hospitality, or merchandising is a plus

Responsibilities

Actively support projects and analysis across the entire organization through: Utilizing Python, apply statistical techniques such as regression analysis, hypothesis testing, and time series forecasting to identify trends and relationships in data.
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
Communicate complex data insights to non-technical stakeholders in a clear and concise manner.
Troubleshoot data-related issues, such as inconsistencies or anomalies in data sets, by conducting root cause analysis and implementing corrective actions.
Create interactive dashboards and visualizations using Tableau to communicate insights effectively.
Gather and extract data from multiple sources, including internal databases and external platforms.
Apply various transformation techniques to convert raw data into usable formats for analysis.
Ensure quality and accuracy of data by performing data quality measurement and analysis.
Utilize machine learning algorithms to build predictive models and uncover hidden patterns.
Develop and implement mathematical models using techniques like integer programming, linear programming, or dynamic programming to solve complex problems.
Design and implement data exploration tools to facilitate ad-hoc analysis.
Maintain comprehensive documentation of data sources, methodologies, and code to ensure transparency and replicability.
Cultivates effective relationships and builds credibility across the organization
Performs other duties which are deemed by management to be an important part of the job