Advanced Analytics Manager

4 weeks ago


New York, New York, United States Publicis Groupe Full time
Job Description

The Manager, Data Science is a key role within Publicis Groupe, responsible for driving advanced audience development, strategic platform vision, and technology enablement. This position requires a strong understanding of big data and the ability to leverage advanced statistical concepts to guide clients into the world of futureproofed technology.

Working closely with client stakeholders and internal team leads is vital to the success of this role, with accountability for the highest quality execution of a diverse array of client and project deliverables. The Manager, Data Science functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients.

Key Responsibilities
  • Build strong relationships with internal stakeholders and groups, facilitating synergy between the planning and activation functions that manage day-to-day client business.
  • Develop and maintain relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction.
  • Grow product delivery and agency revenue organically by cross-selling and up-selling value-add data science products across client divisions, markets, categories, etc.
  • Drive a culture of 'always on' data-driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning.
  • Consult with senior client marketing and business leaders to define and answer most important business questions.
  • Advise on how to best leverage media and marketing investments to drive business results.
  • Work collaboratively with the network to provide the client with the very best thinking and leadership in creating meaningful and measurable marketing experiences.
  • Underpin client marketing processes with 'Big Picture' concepts that will advance them into the future of audience addressability.
  • Guide statistically sound test design that ensures limited to no bias resulting in actionable takeaways.
  • Stay up-to-date with evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required).
  • Create and manage deliverables against detailed project plans that align expectations with outcomes.
  • Provide a high-value consultation layer on top of data science deliverables.
  • Determine the best means of communicating data science-driven insights to clients that ensures understanding of results and application of the analyses is applied.
  • Build presentations providing clear storyline – why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses.
  • Build the profile of Data Science and Advanced Analytics within the agency by packaging and evangelizing best-in-class client work.
Requirements
  • 3+ years of experience in the Advertising or Marketing industry.
  • Experience working with and manipulating databases (SQL).
  • Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets.
  • Experience using web services (Redshift, AWS, etc.).
  • Working knowledge of advanced statistical concepts and machine learning techniques (regression, clustering, etc.).
  • Experience and expertise intersecting consulting skills, data science, and marketing strategy to drive and improve clients' business results.
  • Understanding of experimental design and the concept of statistical significance in terms of test results.
  • Quantitative educational background (preferred advanced degree in Statistics and/or Data Science).
  • Experience in a cross-functional team environment with agency experience a big plus.
  • Strong understanding of contemporary marketing analytics, advertising technology, and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment.
  • Strong client management/consultative experience with both presenting and resolving issues.
  • Extensive experience leading and managing marketing technology projects from ideation through installation.
  • Strong critical thinking and problem-solving skills – a demonstrated ability to mine data for relevant and actionable insights.
  • Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience.
  • Strong understanding and experience with digital media buying, KPI development, and technology practices during campaign planning and execution.
  • Demonstrated experience with programmatic audience buying concepts and execution.
  • Poised leadership qualities, as will be required to lead external and internal resources into new marketing effectiveness territories.
  • Strong attention to detail, and be able to quality-check their teams' work to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams.
  • Strong management capabilities, both operationally (as well as strategically) to ensure that guidance is given to all teams on how to enhance the product as the account matures.
  • Outgoing and able to integrate with fast-paced planning and activation teams.
  • Able to cultivate excellent relationships with technology and research partners.
  • Ability to meet deadlines in a fast-paced environment.
  • Hands-on, problem-solving abilities – 'can do' approach (someone who is a thinker and a doer).


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