Campaign Analysis Senior Manager

• Hourly Pay: $65/hr
• Worksite:
  Leading digital streaming network (New York, NY 10036 - Onsite)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 9 Month Assignment

A leading digital streaming network seeks a Campaign Analysis Senior Manager to own paid media reporting and analysis for global campaigns, turning performance data into insights, stories, and recommendations.

• Own paid media reporting for global campaigns, analyzing performance to build intra-campaign and post-campaign insights and wrap-up reports, tracking results against benchmarks with paid media channel leads, and developing new reports and enhancements.
• Analyze data, build a story of results, and present findings, trends, and learnings to internal marketing teams, other departments, peers, and leadership, including dashboard visualizations.
• Maintain data cleanliness by QA'ing raw campaign data and correcting data errors, and handle ad hoc requests from activation teams.
• Provide forward-looking recommendations on audience targeting, partner mix, and budget to the activation and campaign planning teams.
• Serve as the main point of contact and liaison between marketing and BI, driving projects with BI, marketing, and media teams from start to completion, adjusting priorities as needed.

• 5+ years of direct experience at a brand, agency, or related vendor in a digital media field or role, including full-lifecycle project management in a matrixed organization.
• Bachelor's degree.
• Experience in the digital media industry within marketing, advertising, or advertising technology and analytics.
• Knowledge of digital paid media attribution, metrics (e.g., CPM, CPA), benchmarks (e.g., average video view rate), ad products, and media math.
• Experience with ad servers such as CM360, Mobile Measurement Partners (MMPs) such as Kochava or Apps Flyer, and self-serve ad platforms such as Google Ads, DV360, Meta, and Tik Tok.
• Experience with web analytics tools such as Adobe and Google Analytics.
• Strong data analysis skills using Excel (including pivot tables), Tableau, and Data Studio, with intermediate to advanced experience extracting data from multiple sources to build dashboards and visualizations.
• Strong visual presentation and data storytelling skills using Google Slides, PowerPoint, or Keynote.
• Must be able to complete a case study exercise as part of the interview process.
• Experience with entertainment streaming or DTC brands is preferred.
• SQL experience is preferred.

• 9:00 AM to 6:00 PM.

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