Publicis Groupe Media/Entertainment

Analyst /Group Head / Director - Data Science & Advanced Analytics

Bengaluru, India Hybrid Full-time

Overview

Location: Bengaluru / Mumbai / Gurgaon (Hybrid)Experience: 1 to 12 years Designation: Analyst / Group Head / Director – Data Science & Advanced Analytics

Role Overview

Publicis Groupe is looking for professionals in Data Science & Advanced Analytics to transform complex data into actionable business insights and support data-driven marketing and media decisions. The role involves marketing analytics, statistical modelling, measurement, performance evaluation, dashboarding, and stakeholder management.

The position offers opportunities across multiple levels, from hands-on analytical execution to strategic leadership, client consulting, and team management. The scope of responsibilities will depend on the candidate’s experience, technical expertise, and leadership capabilities.

Key Responsibilities

  • Marketing Analytics & Business Insights
  • Analyse marketing, media, brand, and business data to identify trends, performance gaps, and growth opportunities.
  • Translate analytical findings into actionable recommendations that support business and marketing objectives.
  • Develop KPI frameworks to measure brand health, campaign effectiveness, sales performance, and return on investment.
  • Collaborate with media planning, buying, strategy, and account management teams to integrate analytics into campaign decisions.
  • Present insights and recommendations to internal stakeholders and clients.
  • Data Science & Statistical Modelling
  • Develop and apply statistical models and analytical methodologies to solve business and marketing challenges.
  • Work on Marketing Mix Modelling (MMM), attribution, incrementality testing, causal inference, forecasting, and media effectiveness measurement, as relevant to the role.
  • Apply statistical and machine learning techniques to identify key performance drivers and evaluate marketing effectiveness.
  • Design measurement frameworks to assess the impact of media investments and marketing initiatives.
  • Support the integration of brand tracking insights with media planning and optimisation strategies.
  • Data Analysis, Reporting & Visualisation
  • Work with large datasets to generate meaningful insights and support data-driven decision-making.
  • Develop and maintain dashboards, reports, and analytical frameworks using tools such as Power BI and Tableau.
  • Automate reporting processes and improve analytical efficiency.
  • Ensure data quality, accuracy, consistency, and reliability across analytical outputs.
  • Communicate complex analytical findings through clear visualisations, presentations, and business narratives.
  • Client & Stakeholder Management
  • Understand business requirements and translate them into analytical approaches and measurable outcomes.
  • Collaborate with clients and cross-functional teams to identify business challenges and recommend solutions.
  • Present analytical findings and strategic recommendations to relevant stakeholders.
  • Support the integration of analytics-led insights into marketing strategies, campaign planning, and budget allocation.
  • Build strong stakeholder relationships and ensure timely delivery of analytical projects.
  • Product, Process & Innovation
  • Identify opportunities to improve analytical methodologies, workflows, and reporting processes.
  • Develop reusable analytical frameworks, playbooks, and standardised methodologies.
  • Collaborate with product, technology, and data engineering teams to enhance analytics tools and solutions.
  • Explore emerging technologies, AI-driven analytics, automation, and advanced measurement approaches.
  • Promote continuous improvement in analytical quality, productivity, and business impact.
  • Team Leadership & Development
  • Collaborate with analysts, data scientists, media teams, and other cross-functional stakeholders.
  • Provide guidance, mentorship, and technical support to junior team members, where applicable.
  • Review analytical approaches, modelling outputs, and deliverables to maintain quality standards.
  • Support knowledge sharing, capability building, and the development of analytical best practices.
  • Contribute to a collaborative culture focused on experimentation, innovation, and continuous learning.
  • Strategic Leadership & Thought Leadership
  • Contribute to analytical strategy and the development of advanced measurement capabilities.
  • Identify opportunities to apply data science and marketing analytics to complex business challenges.
  • Support strategic client engagements, new-business pitches, and analytics-led consulting initiatives.
  • Develop perspectives on emerging trends in marketing science, media measurement, and advanced analytics.
  • Drive innovation and business impact through effective use of data, technology, and analytical expertise.

Skills & Experience

  • Experience in data science, marketing analytics, advanced analytics, statistical modelling, or media measurement.
  • Strong understanding of statistical methods, data analysis, and quantitative problem-solving.
  • Knowledge of Marketing Mix Modelling (MMM), attribution, incrementality testing, regression, forecasting, and causal inference, as relevant to the role.
  • Proficiency in analytical tools and programming languages such as SQL, Python, or R.
  • Experience with visualisation and reporting tools such as Power BI or Tableau.
  • Ability to interpret complex datasets and translate findings into actionable business insights.
  • Strong communication, presentation, analytical thinking, and stakeholder management skills.
  • Understanding of marketing effectiveness, media performance, brand measurement, and ROI analysis.
  • Experience in team management, client consulting, or strategic leadership, depending on the role level.
  • Familiarity with cloud platforms, data engineering tools, machine learning, and AI-driven analytics is an advantage.
  • Experience in CPG, FMCG, or other consumer-facing industries is preferred.

Role-Level Expectations

Analyst

  • Focus on data analysis, modelling support, dashboard development, reporting, and insight generation.
  • Execute analytical projects and ensure the accuracy and quality of deliverables.
  • Work closely with senior team members to translate business requirements into analytical outputs.

Group Head

  • Lead analytical projects, oversee modelling methodologies, and translate findings into strategic recommendations.
  • Manage client relationships, guide cross-functional collaboration, and mentor analysts.
  • Drive analytical quality, project delivery, and the integration of insights into media and marketing decisions.

Director

  • Define the analytics vision, strategic priorities, and measurement frameworks across key accounts or business areas.
  • Lead senior client engagements, influence business decisions, and drive analytics-led consulting.
  • Oversee teams, develop analytical capabilities, drive innovation, and contribute to business growth and thought leadership.
  • Why Publicis Groupe?
  • Opportunity to work with leading brands on complex marketing and business challenges.
  • Exposure to advanced analytics, data science, media measurement, and emerging technologies.
  • Collaboration with multidisciplinary teams across media, strategy, data, and technology.
  • Opportunities to contribute to innovation, strategic decision-making, and professional growth.

Job description provided by Publicis Groupe.
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