Vice President, Analytics
Listed on 2026-03-07
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IT/Tech
Data Analyst, Digital Marketing
Company description
Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world’s most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA.
Spark Foundry’s start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media’s powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we “Bring HEAT to Brands.” No other agency possesses the expertise that we do to address today’s most pressing challenges to drive business transformation through media.
The Vice President, Media Analytics and Insights is responsible for the application of data driven insights into the Publicis Media planning, investment and measurement process. Additionally, the role requires the candidate design and lead the implementation of modern measurement plans and roadmaps for Publicis Media clients.
Analytics, Insights, Data, Technology and Innovation (DTAI) subject matter experts are a vital part of the client team. They function as expert technical points of escalation, analytical problem solvers and technical translators to internal account teams and clients. They provide ongoing strategic account direction/vision for technology, process and digital reporting/insights.
Responsibilities- The successful candidate will have experience and expertise in how to intersect consulting skills, data, advanced analytics and marketing strategy to drive and improve clients’ business results
- Deliver best‑in‑class media attribution roadmaps, including measuring video and digital multi‑touch attribution
- Manage client data ingestion for advanced attribution and modeling
- Build strong relationships with internal stakeholders and groups, facilitating synergy between the Strategy and Investment functions that manage day‑to‑day client business
- Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction
- Drive a culture of ‘always on’ data driven decision making that will institutionalize the use of consumer‑driven analytics in media / marketing investment planning
- Grow product delivery and agency revenue organically by cross‑selling and up‑selling value add analytical products across client divisions, markets & categories
- Scope and direct advanced analytics projects to ensure that the deliverables are designed to answer valuable client and media team questions, and that timelines and scope are adhered to
- 10+ years’ experience in media analytics, at an agency, on client side, or some combination of the two
- Strong understanding and experience with media buying, KPI development and technology practices during campaign planning and execution
- Experience with media measurement tools including: 3rd party ad serving, syndicated research and web analytics, such as iSpot, Net ratings, Comscore, Doubleclick, Atlas, Omniture, Coremetrics, Google Analytics , etc. is preferred, but not required
- Strong client management/consultative experience both presenting and resolving issues
- Extensive experience leading and managing marketing technology projects from ideation through installation
- Strong critical thinking and problem solving skills – demonstrated ability to mine data for relevant and actionable insights
- Advanced written and verbal communication skills with ability to communicate/translate complex concepts to non‑technical audience
- Demonstrated experience with programmatic audience buying concepts and execution
- Strong math and analytical skills
- Advanced MS Office skills (MS Word, Excel, PowerPoint)
- Experience with statistical modeling software (MATLAB, R, SAS, SPSS, Python) database tools (Amazon Web, SQL, MS Access, Excel Pivot Tables, MS Sql Server) and enterprise business intelligence tools such as Cognos, Business Objects, Tableau, or Datorama
- Very good…
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