Key Responsibilities (Strategic & Operational):

Analytics Strategy Execution: Implement the data analytics roadmap for the FMCG business as defined by senior leadership.

- Identify key business questions and determine what data analysis is needed (sales trends, customer behavior, product performance, etc.) to answer them.

- Data Collection & Management: Work with IT and operations to ensure data from all outlets (POS systems, online orders, loyalty programs, etc.) is being captured accurately in a centralized data warehouse or analytics system.

- Improve data quality and integrity through regular audits and validation.

- Business Insights & Reporting: Analyze large datasets to extract trends and insights on sales performance, popularity of products, customer demographics, and marketing campaign effectiveness.

- Develop and maintain dashboards and regular reports for different stakeholders (management, marketing, operations) highlighting key KPIs such as same-store sales growth, average ticket size, customer retention rates, etc.

- Performance Optimization: Provide data-driven recommendations to improve business outcomes for example, insights on optimal store operating hours, inventory forecasts to reduce waste, or personalized promotion strategies to increase customer loyalty.

- Collaborate with marketing and operations teams to test and implement these recommendations.

- Tool Implementation: Support the deployment and use of business intelligence (BI) tools and analytics software.

- Ensure the team is leveraging the right tools (Excel, Tableau/Power BI, SQL, Python, etc.) for efficient analysis and visualization.

- Work on automating routine reports for efficiency.

- Cross-Functional Projects: Participate in cross-functional initiatives such as new product launches or market expansion studies, contributing analytical inputs.

- For example, help evaluate potential new store locations by analyzing demographic and sales data, or assess the impact of pricing changes on sales volumes.

Required Skills & Competencies:

- Technical Analytics Skills: Strong proficiency in data analysis tools and techniques including advanced Excel, SQL querying, and at least one analytics or visualization tool (Tableau, Power BI, or similar).

- Ability to handle large datasets and perform complex analyses.

- Analytical Thinking: Excellent problem-solving skills with a knack for identifying patterns and root causes from data.

- Able to translate ambiguous business problems into structured analytical approaches.

- Business Acumen: Good understanding of business operations and metrics, ideally in retail or consumer businesses.

- Able to connect data findings to real-world business implications (e.g., how footfall and conversion rates affect revenue).

Preferred Background & Domain Expertise:

- Industry Experience: Experience in data analytics or business intelligence roles within QSR, retail, e-commerce, or consumer goods companies.

- Familiarity with analyzing sales data, customer purchase patterns, or supply chain metrics in a multi-unit context is highly beneficial.

- Education: Bachelors or Masters degree in Statistics, Data Science, Computer Science, Business Analytics or related field.

- An MBA with a focus on analytics or operations can also be useful when paired with strong technical skills.

- Project Experience: Hands-on experience implementing analytics projects that had tangible business outcomes (e.g., improved sales through customer segmentation, cost savings through inventory optimization).

- Experience in an organization scaling up its analytics function is a plus.

- International Exposure: Any experience with analytics for markets outside India (for instance, understanding consumer data trends in the UK or handling datasets from different regions) is a plus, aiding in readiness for international expansion