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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