Overview

The Data Analyst will play a crucial role in leveraging analytical methods to support decision-making and strategic initiatives across our Diamond Baseball Holdings portfolio of venues. This position involves collaboration with stakeholders across sports, live entertainment, and hospitality to enhance customer experiences and optimize operational performance worldwide. This person will be responsible for maintaining data consistency, building data visualizations, and working with OVG’s venue subject matter experts to analyze core KPIs of the venue and event management business. 

This role pays an annual salary of $70,000-$90,000.

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays).

This position will remain open until August 15, 2025.

Responsibilities

• Analyze complex data sets to develop and refine analytical frameworks and models that influence business strategies.
• Collaborate closely with business intelligence teams to transform raw data into actionable insights, enhancing operational efficiency and customer satisfaction.
• Support initiatives to integrate advanced analytics into daily operations, fostering a data-informed culture within the organization.
• Lead the development and execution of comprehensive analytic strategies to maximize fan engagement, optimize game day operations, and increase revenues.
• Assist in the design and deployment of interactive dashboards and reporting solutions that provide real-time insights to stakeholders.
• Identify trends and opportunities, making recommendations to optimize the business, including driving top line revenues and finding efficiencies.
• Contribute to managing external partnerships and vendor relations to expand data capabilities and technological advancements.
• Represent the analytics team in meetings, contributing to broader business strategies and objectives

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field, with 2+ years of data analytics experience.
• Proficiency with analytical tools (e.g., SQL, Python, R) and experience with BI platforms (e.g., PowerBI).
• Skilled in statistical modeling, forecasting, and data mining techniques.
• Demonstrated ability to manage and analyze large data sets.
• Excellent problem-solving skills and the ability to communicate complex data in a clear and concise manner to non-technical stakeholders.
• Experience in an Azure environment.