Data Analyst

Data Analyst

Baltimore, US

The Role

We have an exceptional opportunity for an ambitious and talented Data Analyst to join our Baltimore office. The Data Analyst will be a key member of the Data and Planning Team and will analyze media and social data created by marketing activity, identifying trends and providing actionable insights to improve performance. Will be responsible for tracking and understanding the performance of campaigns using fractional attribution. Proactively builds strong working relationships with internal contacts to help support and educate the agency about how mathematical concepts can improve marketing effectiveness.


  • Has working knowledge of technologies such as SQL, Python and Tableau to manage data preparation, analysis and presentation. This would include the management of datasets which are required for ongoing analysis.
  • Responsible for the creation and management of models which would be used in campaign planning and management.
  • Responsible for the documentation of analytics projects and ensuring that specific analytical processes can be replicated and scaled across clients if necessary.
  • Responsible for the delivery of robust mathematical analysis
  • Responsible for the production of campaign reports, studies, presentations and proposals to Jellyfish brand standards.
  • Achieves continuous improvement by proactively assessing Jellyfish’s working relationships, practices and methods
  • Demonstrates measurable success through the achievement of analysis which contributed to an improvement in client performance or an improvement in agency efficiency

Skill Requirements

  • BS/BA Degree in Business Administration, Statistics, Mathematics, or related field (or equivilent work experience)
  • 1+ years of experience
  • Experience in data analysis with the ability to identify causations and correlations within multiple datasets.
  • Excellent technical analytical experience - to include some of the following Excel, SQL, Python, R, Tableau or Data studio.
  • Have experience in machine learning and can identify the correct opportunities of where to use it and construct the appropriate training and production of models.
  • Strong interpersonal skills and the ability to distill and translate complex analysis into actionable insights that a client will understand.
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