Associate Data Analyst

Zoomph
Onsite

About The Position

The Associate Data Analyst’s primary duty is to leverage the Zoomph platform to assist in the delivery of ad-hoc and standing management and customer requests. They are to create programs, methodologies and files for analyzing and presenting data. The Associate Data Analyst develops awareness of and familiarity with issues and events affecting organizations, departments and/or customers.

Requirements

  • Bachelor's degree in Computer Science, Math, Statistics or a related field
  • 1-3 years of experience as a data analyst
  • Experience in the areas of marketing, communication, digital strategies and data analytics
  • Well versed in both technical knowledge and strategic thinking
  • Strong business, data and statistical acumen
  • Develops appropriate methodologies for collecting, analyzing and presenting data products
  • Facilitates satisfactory communication and resolution of problems
  • Points 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

Nice To Haves

  • Experience in the sports industry preferred

Responsibilities

  • Leverage Zoomph to quantify social media and broadcast KPIs across different channels, teams, media outlets, and properties
  • Identify and interpret social media data trends ranging from the post level to campaigns and series
  • Analyze results and communicate insights to internal and external stakeholders
  • Recommend, prioritize, and develop client and sponsor industry benchmarks
  • Collaborate with customer success colleagues to recommend social media content strategies that will assist platform clients in maximizing content to drive partnership value and attract new sponsors
  • Examines data quality, applications and functions
  • Produces output and sustains operation
  • Contributes to new product development and improvement in product delivery and presentation
  • Uses and supports database applications and analytical tools
  • Uses timely and appropriate participation of users/customers in data collection and query systems
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