Data Analyst Intern

The Data Analyst Intern’s primary duty is to assess complex data systems and programs in support of ad-hoc and standing management and customer requests. Part of this involves creating programs, methodologies and files for analyzing and presenting data. The Data Analyst Intern develops awareness of and familiarity with issues and events affecting organizations, departments and/or customers.

The Essential functions of this position are:

• Leverage Zoomph to quantify social media KPIs across social channels, sports leagues, & content properties
• Identify and interpret social media data trends ranging from the post level to campaigns and content series
• Analyze results and communicate insights to internal and external stakeholders
• Recommend, prioritize, and develop client and sponsor industry benchmarks across social channels
• Collaborate with account management colleagues to recommend social media content strategies that will assist platform clients in maximizing content to drive partnership value and attract new sponsors
• Examine data quality, applications and functions
• Contribute to new product development and improvement in product delivery and presentation
• Use and support database applications and analytical tools
• Use timely and appropriate participation of users/customers in data collection and query systems.
• Performs other duties as assigned

Required Qualifications:

Education & Experience:

• Pursuing a degree in Computer Science, Statistics, Marketing, or a related field.
• Experience in the areas of marketing, communication, digital strategies and data analytics, whether through work experience or class projects
• Well versed in both technical knowledge and strategic thinking
• Strong business, data and statistical acumen
• Passion for and baseline knowledge of the sports and entertainment industry

Competencies and Required Skills:

• Development of appropriate methodologies for collecting, analyzing and presenting data products
• Facilitate satisfactory communication and resolution of problems
• Point out system or process problems when noticed and engages the team in problem solving
• Ability to interpret data trends and patterns as they relate to the organization
• Design databases and data systems
• Self-starter