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Data Marketing Consultant (QSR)

San Francisco, CA 94105

Posted: 02/12/2025 Employment Type: Contract Job Category: Marketing Job Number: 629305 Is job remote?: Yes Country: United States

Job Description

Planet Interactive is seeking a Data Marketing Consultant (QSR) to assist one of our clients that provide a data collaboration platform for some of the world’s most innovative companies. We’re looking for a hands-on strategist with a passion for driving measurable change in marketing.
  • Project Hours: 100 hrs total 
  • Pay Rate: $70-$80/hr depending on experience
  • Location: Remote (qualified candidates must be US Citizens working within the United States) 
Data Marketing Consultant (QSR) Responsibilities: 
  • Craft an industry strategy by identifying the biggest data collaboration opportunities between QSR and adjacent industries, prioritizing repeatable use cases, and estimating the potential for growth.
  • Define the key collaboration use cases and business outcomes for both sides of the marketplace.
  • Deliver the vision, playbook, and requirements for a set of “templatized” use cases, including their associated data inputs and outputs, measurement dashboards, impacts on business KPIs, and guidance for pre-sales discussions.
Data Marketing Consultant (QSR) Qualifications: 
  • A storyteller: You know what marketing leadership, data science, and other key stakeholders care about, which dashboards are critical, and which business KPIs matter the most.
  • A visionary: You can articulate how leveraging second-party data can transform the QSR industry and tie your value proposition to priority business KPIs beyond marketing.
  • 5+ years of experience presenting marketing strategies to C-suite executives in the QSR industry.
  • Detail-oriented and data-driven: You understand how dashboards are built, presented, analyzed, and interpreted by different stakeholders.
  • Experience collaborating with delivery platforms (e.g., Uber Eats, DoorDash) for marketing is a plus.
  • Strong collaboration skills with data science teams to define and interpret QSR-specific experiments.
  • Experience with Retail Media Networks is a plus.
  • A strong understanding of BI tools.
  • Experience with data cleanrooms is a plus.
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