Manager, Analytics

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. Overview The Manager, Advanced Analytics, will play a critical role in the creation and execution of custom modeled audiences, overlap analyses, and predictive and addressable audience development. The ideal candidate will have hands‑on experience in data management, proficiency in Python scripting and Jupyter Notebook, strong analytical and problem‑solving skills, and the ability to communicate complex findings in a clear and impactful way to both technical and non‑technical stakeholders. Responsibilities Assist clients in implementing clean room strategies and leveraging new technologies Under the guidance of the Associate Director, assist the development and implementation of propensity models using machine learning for net new audiences and audience refreshes With the help of the Audience Design team, assist in identifying the attributes for custom audience creation Perform QA and troubleshooting on 1P onboarded data to ensure match rate alignment with client systems Contribute to the improvement of internal modeling practices for more efficient core hour usage and activation Conduct audience analysis on 1P customer segments and collaborate with internal teams to present findings Maintain and execute Python scripts to organize data for more streamlined analysis Translate technical concepts into actionable strategies for non-technical stakeholders in presentations Support the design of statistically sound tests to minimize bias and ensure reliable results Contribute to the development and implementation of a test‑and‑learn roadmap to enhance strategies and drive data‑driven decision‑making Stay informed about evolving media trends, sharing relevant insights with internal and client teams Create deliverables aligned with project roadmaps and client expectations Provide consultative support to clients on data science deliverables and analytics strategies Build presentations to convey the importance, findings, and actionable takeaways from analyses Assist the analytics team in audience performance reporting and insights Qualifications 3–5 years of experience in advertising, marketing, or data science field Media agency experience preferred Proficiency in SQL, Python, and statistical modeling techniques Familiarity with experimental design, statistical significance, and machine learning concepts Understanding digital media buying, KPI development, and programmatic audience buying Strong analytical and critical thinking skills with a track record of actionable insights Excellent written and verbal communication skills, with the ability to present to both technical and non‑technical audiences Experience working with cloud‑based data services (e.g., AWS, Redshift) Quantitative educational background (degree in Statistics, Data Science, or related field nice to have) Proven ability to manage deadlines and collaborate within cross‑functional teams Benefits Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr