U1 Data Analyst

Urban1Atlanta, GA
$85,000 - $100,000Onsite

About The Position

The Radio One story began simply with a dream and one radio station. Forty years, 13 markets, and 70+ stations later, we are an urban media empire, spanning multiple media platforms. We are in your ears with Reach Media/Radio One, on your televisions with TV One, and may even be the name behind your favorite website, with our digital platform Interactive One. Information is power, and our mission here at Radio One, Inc. is simple – to be the most trusted media source in the African American community. At Radio One, we pride ourselves on hiring dedicated people who continue to challenge the norm while embracing a corporate culture built on creativity and passion. We are our employees’ biggest fans, and it is our daily mission to attract, develop, and retain the brightest stars in the business.

Requirements

  • Proven experience as a Data Analyst (X years preferred, adjust based on seniority level).
  • Strong proficiency in SQL and experience working with relational databases.
  • Strong knowledge of Excel (pivot tables, VLOOKUP/XLOOKUP, formulas)
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Proficiency in data manipulation and analysis tools/languages such as Python (with libraries like Pandas, NumPy), R, or similar.
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
  • Ability to work independently and as part of a team.
  • Strong attention to detail and accuracy.
  • Submit to a criminal background check
  • Legal right to work in the United States

Nice To Haves

  • Experience with Nielsen and Scarborough is a plus.

Responsibilities

  • Collect, clean, and transform large datasets from various sources (e.g., databases, CRM, web analytics).
  • Develop and maintain databases and data systems.
  • Conduct thorough data analysis to identify trends, patterns, and anomalies.
  • Create insightful visualizations and reports (e.g., dashboards, charts, graphs) to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand and translate business requirements into data analysis projects.
  • Develop and implement data quality control measures.
  • Document data processes and analysis methodologies.
  • Present findings and recommendations to management and other stakeholders.
  • Stay current with industry trends and best practices in data analysis.
  • Contribute to the development of predictive models and other advanced analytics solutions (depending on the seniority level).
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