Data Science Associate

Job Description

The Data Science Associate will work at the intersection of data engineering and analytics, contributing to data processing, cleaning, and analysis in an agile manner across all domains of revenue efforts, with an emphasis on revenue generation, ticketing, marketing, content and partnerships. This role will leverage data engineering and analytical expertise to ensure data-driven decision-making across the Notre Dame Athletics revenue and business areas.

Responsibilities & Duties

• Collaborate with the Back-End Database Engineer to seamlessly integrate data-driven solutions into existing and new systems, while partnering with revenue, ticketing, marketing, content and partnership staffs to ensure analytics tools align with and adapt to the evolving needs of Notre Dame Athletics.
• Design, build, and maintain reliable data pipelines that support revenue, ticketing, marketing, content and partnership analytics.
• Aligned with departmental best practices, implement and maintain data quality checks, logging, and monitoring to ensure accuracy and reliability of revenue-related datasets.
• Issue optimized queries for use in stakeholder-facing tools like dashboards and other reporting mediums. Develop insights and build tools to address current and new revenue generating opportunities, enhance data accessibility, and support the revenue and external affairs teams.
• Apply analytical expertise and programming skills to interpret and visualize data across all departmental needs of revenue-focused efforts (e.g., ticketing, partnerships, marketing, digital, fan experience, etc.).
• Partner with functional leaders to shape metrics, definitions, and data models that drive actionable decision-making.
• Facilitate internal research projects that contribute to novel and innovative revenue growth.

Qualifications

• Education Qualifications: Bachelor’s degree (4 years)
• At least 3 years of professional experience
• Degree Qualifications: Bachelor’s degree in a data science related field; graduate-level training preferred.
• Skill Qualifications: - Highly proficient with multiple data systems and experience in a variety of programming languages (Java, SQL, Python).
• Proven experience with data in various forms (such as relational SQL, NoSQL, JSON, unstructured data environments).
• Knowledge and skills required to formulate and pursue impactful questions regarding revenue generation, ticketing, marketing, CPM, CRM and partnerships.
• Strong organizational skills, intellectual curiosity, stress tolerance, ability to handle uncertainty, and persistent desire to start and complete projects.
• Exceptional verbal and written communication skills with the ability to dynamically adapt messaging to a diverse group of stakeholders.
• Broad understanding of / and interest in sports business; Nights and weekends required at times.

Additional Information

• Deadline to Apply (subject to change): Sunday, July 12th
• Salary: up to 85K, commensurate with experience