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High due to a popular mid-level data role, metro location, and broad technical requirements at a known brand.
Medium because core data skills are transferable but media/sponsorship domain expertise is required.
High due to explicit 3-6 years requirement and mandatory Python, SQL, and Power BI skills.
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Independent analysis and storytelling to deliver ROI insights and detailed sponsorship valuation reports.
Manage complex client analytical projects including scope, cost, and feasibility, coordinating sales and operations to meet client needs and budgets.
Drive automation and AI integration in data workflows to optimize delivery and enhance analytical capabilities.
3-6 years relevant work experience in data analysis within media and sponsorship advertising.
Strong proficiency in Excel (advanced formulas, pivot tables), Python, SQL, and visualization tools like Power BI or Tableau with architectural understanding.
Willingness to work shifts to support USA market clients.
Excellent English communication skills (spoken and written) for client presentations and stakeholder engagement.
Experienced in media and sponsorship industry analytics with ability to translate data into actionable insights and ROI storytelling.
Skilled project manager able to independently define scope, manage budgets, and coordinate cross-functional teams to deliver client projects.
Technically adept with advanced data manipulation skills and familiarity with AI workflow integration and automation to improve processes.