Sports Research Analyst

Sports Research Analyst

Are you passionate about turning data into compelling stories that drive business results? Scripps Research & Consumer Insight is looking for a Sports Research Analyst to collect, organize, and connect multiple data sources, using quantitative methods and creative analysis to turn data into actionable insights, and clear visualizations. This position will form conclusions and recommendations that enable Scripps Sports to innovate, differentiate itself from its competitors, work smarter, make better decisions and enhance profitability.

• Develop, maintain, and evaluate metrics, reports, and historical trackers for all Scripps Sports content such as the WNBA, NWSL, NHL, MLV, and other sports properties.
• Support expansion of Scripps Sports Research & Consumer Insight team.
• Enable the development of advertising sales pitches with analysis and data driven storytelling.
• Build dashboards and visualizations to communicate findings to internal & external audiences.
• Analyze data to distinguish true performance issues from data integrity errors.
• Perform competitive analysis and provide data-driven input for league acquisition and sales rate card estimates.
• Define data requirements and work with structured and unstructured data sources.
• Enter programming schedules into Nielsen NCL.
• Attend monthly research staff meetings and weekly manager check-ins; contribute analysis ideas and recommendations.

• Bachelor's degree in media, communications, marketing, math/statistics, or a related field preferred; or equivalent work experience.
• Minimum 1 year of experience in TV research, data analytics, or a related role required. Generally, 2-5 years experience in a related field preferred.
• TV research and media metrics experience preferred, including com Score and Nielsen systems.
• Strong interest in and knowledge of sports.

• Strong data visualization and statistical skills.
• Able to use logic and analysis to identify and resolve data issues and make data-informed recommendations.
• Able to write and refine prompts for AI models to produce clear, reliable research output.
• Comfortable using AI tools to streamline data cleaning, analysis, and visualization to improve speed and accuracy.
• Proficient in the Microsoft Office Suite, with advanced skills in Excel and PowerPoint.
• Solid written and verbal communication skills required.
• Able to work both independently and with a team, bringing strong organization, project management, and attention to detail.
• Able to handle multiple assignments at once in a fast-paced environment.