Role Overview:

We are seeking a highly analytical and business-focused Analytics Consultant to support strategic decision-making through advanced analytics, marketing effectiveness measurement, and commercial insights. The ideal candidate will have hands-on experience in Media Mix Modeling (MMM), Marketing Mix Modeling, Customer Analytics, Commercial Analytics, and statistical modeling. The role requires partnering with business stakeholders across Retail, CPG, and FMCG domains to deliver actionable recommendations that drive growth, optimize marketing investments, and improve customer engagement.

Key Responsibilities:

- Develop and deploy Media Mix Models (MMM) to evaluate marketing channel effectiveness and optimize budget allocation.

- Design and execute Marketing Mix Modeling projects to measure campaign impact and ROI.

- Analyze customer behavior, purchase patterns, and engagement metrics to generate actionable business insights.

- Build customer segmentation frameworks to support targeted marketing strategies.

- Perform commercial analytics to identify revenue growth opportunities and improve business performance.

- Conduct pricing and promotion analytics to assess promotional effectiveness and pricing strategies.

- Develop forecasting models for sales, demand, marketing performance, and customer trends.

- Apply advanced statistical and predictive modeling techniques to solve complex business problems.

- Partner with client stakeholders to understand business challenges and translate them into analytical solutions.

- Present findings, recommendations, and business implications to senior leadership and client teams.

- Design performance measurement frameworks and KPIs for marketing and commercial initiatives.

- Collaborate with cross-functional teams including Marketing, Sales, Finance, and Technology.

- Ensure data quality, model accuracy, and adherence to analytics best practices.

- Support business development initiatives by contributing to analytics proposals and solution design.

- Stay updated with emerging analytics methodologies, tools, and industry trends.

Key Result Areas (KRAs):

- Successful delivery of Marketing Mix Modeling and Media Mix Modeling engagements.

- Improvement in marketing ROI through data-driven optimization recommendations.

- Development of accurate forecasting and predictive models supporting business decisions.

- Generation of actionable customer insights leading to improved targeting and engagement.

- Enhanced commercial performance through analytics-driven recommendations.

- Achievement of project timelines, quality standards, and client satisfaction targets.

- Effective stakeholder management and communication of analytical outcomes.

- Increased adoption of analytics solutions across business functions.

- Continuous improvement of modeling methodologies and analytical frameworks.

- Contribution to organizational analytics capabilities and thought leadership.

Required Skills & Competencies:

- Strong expertise in Media Mix Modeling (MMM).

- Experience in Marketing Mix Modeling and marketing effectiveness measurement.

- Knowledge of commercial analytics and business performance analysis.

- Strong understanding of customer analytics and customer segmentation techniques.

- Experience in pricing and promotion analytics.

- Proficiency in statistical modeling, predictive analytics, and forecasting.

- Advanced programming skills in Python and/or R.

- Strong SQL skills for data extraction, transformation, and analysis.

- Experience with data visualization and storytelling.

- Strong understanding of experimental design and measurement methodologies.

- Ability to translate business requirements into analytical solutions.

- Excellent consulting, stakeholder management, and presentation skills.

- Strong problem-solving and critical-thinking abilities.

- Experience working with large and complex datasets.

- Ability to work independently in a fast-paced consulting environment.

Preferred Qualifications:

- 4+ years of experience in Analytics Consulting or Business Analytics.

- Experience working with Retail, CPG, or FMCG clients.

- Exposure to marketing measurement and optimization frameworks.

- Experience with machine learning and advanced analytics techniques.

- Familiarity with cloud analytics platforms and modern data ecosystems.

- Master's degree or Bachelor's degree in Statistics, Economics, Mathematics, Engineering, Data Science, Analytics, or a related quantitative discipline.