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

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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.