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Mid-level metro data analyst role with broad skills demands and popular title increases applicant competition.
Role requires deep media and sponsorship domain knowledge, limiting cross-industry transferability.
Explicit 3–6 years requirement plus mandatory Python/SQL and BI expertise enforces moderate filtering.
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Analyze and present data-driven ROI insights and market research findings to clients in compelling reports and dashboards.
Manage complex analytical client projects end-to-end, coordinating between sales, operations, and media services teams using project planning tools.
Drive automation and process optimization using Python, VB Script, and AI workflows for improved efficiency in data processing and media valuation methodologies.
3 to 6 years of relevant data analysis experience.
Strong proficiency in Python, SQL, and advanced Excel (pivot tables, formulas, VLOOKUP).
Experience with data visualization tools such as Power BI or Tableau, including understanding their underlying architecture.
Willingness to work in shifts to support USA market clients; excellent English communication skills mandatory.
Experienced in media and sponsorship analytics within the advertising industry with deep domain knowledge.
Capable of independently managing end-to-end client analytical projects with strong project management and prioritization skills.
Technically skilled in scripting and automation (Python, VBA), as well as AI workflow design and prompt engineering for data tasks.