Senior Analyst, Media Analytics

Senior Analyst, Media Analytics

03 Mar 2024
New York, New york city 00000 New york city USA

Senior Analyst, Media Analytics

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Job Description

The Starcom Advanced Analytics & Insights (AAI) – Decision Sciences team draws on the dynamic advertising technology space, digital and offline analytics, and evolving methodologies to address complex research and measurement challenges across Starcom client brands.

The Decision Sciences Senior Analyst is an advanced entry-level position that uses research, data, and analytics techniques to answer client business questions, develop ‘test-and-learn’ approaches that roll-up to the client’s larger learning objectives, and implement best practices around strategy, activation, and campaign measurement.

Responsibilities:

  • Help drive day-to-day research and analytics efforts while delivering high impact, actionable insights
  • Execute consumer, media, brand, and market research that will drive the client’s business
  • Synthesize and provide clear visualization of insights surfaced by mining advertising and client data
  • Report on key metrics for campaign effectiveness and develop key findings for optimization
  • Develop and analyze media and brand targets that inform media strategies
  • Apply syndicated research and proprietary agency resources to client’s business
  • Evaluate new and potential data partners to identify the best resources and approaches
  • Proactively educate internal and external clients on research, tools, and approaches
  • Craft POVs for internal and external knowledge sharing

Qualifications

Qualifications:

  • Bachelor’s degree or higher in marketing, advertising, business, engineering, statistics, economics, sociology, or equivalent
  • 1-2 years in media/marketing research, consumer insight, business consulting, or digital advertising research
  • Experience with quantitative or qualitative research and working with large data sets to create insights
  • Familiarity with syndicated and customer data environments
  • Knowledge of statistical software packages and coding languages (eg SAS, SPSS, R, Python) a plus
  • Proficiency in Tableau, GoodData, Datorama, SQL
  • Strong communication skills both written and verbal
  • Competency in Microsoft Office Suite with intermediate to advanced understanding of Excel

Additional Information

All your information will be kept confidential according to EEO guidelines.

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