Manager Analytics

Why Join 7-Eleven Global Solution Center?

When you join us, you'll embrace ownership as teams within specific product areas take responsibility for end-to-end solution delivery, supporting local teams and integrating new digital assets. Challenge yourself by contributing to products deployed across our extensive network of convenience stores, processing over a billion transactions annually. Build solutions for scale, addressing the diverse needs of our 84,000+ stores in 19 countries. Experience growth through cross-functional learning, encouraged and applauded at 7-Eleven GSC. With our size, stability, and resources, you can navigate a rewarding career. Embody leadership and service as 7-Eleven GSC remains dedicated to meeting the needs of customers and communities.

Why We Exist, Our Purpose and Our Transformation?

7-Eleven is dedicated to being a customer-centric, digitally empowered organization that seamlessly integrates our physical stores with digital offerings. Our goal is to redefine convenience by consistently providing top-notch customer experiences and solutions in a rapidly evolving consumer landscape. Anticipating customer preferences, we create and implement platforms that empower customers to shop, pay, and access products and services according to their preferences. To achieve success, we are driving a cultural shift anchored in leadership principles, supported by the realignment of organizational resources and processes.

Leadership Principles

1. Be Customer Obsessed
2. Be Courageous with Your Point of View
3. Challenge the Status Quo
4. Act Like an Entrepreneur
5. Have an “It Can Be Done” Attitude
6. Do the Right Thing
7. Be Accountable

About This Opportunity

We are building a focused, high-impact analytics pod within 7-Eleven GSC (GBS) to support our restaurant and food service business. This dynamic team will drive insights on category and product performance, operational efficiencies, and customer experience across store levels.

Working closely with global analytics leadership (AI included), the pod will deliver foundational reporting, advance dashboards, and develop future-ready AI/ML capabilities for demand forecasting and strategic decision-making.

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Responsibilities:

• Design & Develop Analytics Solutions: Lead and support the creation of dashboards and BI reports reflecting restaurant and category business KPIs, programs, and operational variables.
• Data Analysis & Interpretation: Analyse large, complex datasets such as POS, supply chain, loyalty, customer feedback, and digital engagement to generate actionable insights.
• Category Management Analytics: Evaluate product and program effectiveness across multiple stores, uncovering nuanced business insights and identifying growth opportunities.
• AI & Forecasting Alignment: Collaborate with AI teams to gradually integrate predictive models for demand planning, inventory optimization, and staffing forecasts.
• Report & Communication Excellence: Translate complex analytics into easily understandable, business-focused reports and presentations for technical and non-technical stakeholders.
• Data Quality & Best Practices: Advocate for clean data, scalable analytics frameworks, and adherence to industry best practices within the team.
• Cross-functional Collaboration: Partner with IT, Marketing, Operations, Product teams, and other Analytics groups to drive integrated solutions.
• Mentorship & Leadership: Provide technical guidance and lead the India POD to build analytics capabilities and infrastructure.

Technical Skills Required:

• Data Engineering & Querying: SQL, ETL frameworks, data integration tools.
• Analytics Programming: Python and/or R for data analysis and modelling.
• BI & Visualization: Tableau, Power BI, or equivalent reporting platforms.
• Cloud Platforms: Azure, AWS, or Google Cloud environments.
• Advanced Analytics (Future-readiness): Familiarity with ML frameworks and AI techniques is desirable.

Education & Experience:

• Bachelor’s or Master’s degree in data Analytics, Computer Science, Statistics, Engineering, or related disciplines.
• Minimum 7+ years of analytics experience in the QSR, food service, retail, or convenience store sector.
• Strong proficiency in SQL and at least one analytics programming language (Python or R).
• Experience with BI/data visualization tools (Tableau, Power BI, or similar).
• Hands-on working knowledge of restaurant tech stacks including POS systems and related data pipelines.
• Analytical mindset with proven ability to handle ambiguous data and “read between the lines” in BI reporting.
• Strong communication skills to present findings clearly to diverse audiences.
• Familiarity with cloud data platforms (Azure, AWS, Google Cloud) is preferred.
• Exposure to predictive analytics, machine learning, and AI-driven business applications is a plus.

7-Eleven Global Solution Center is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent and how we show up in the communities we serve. As the recognized leader in convenience, the 7-Eleven family of brands embraces diversity, equity and inclusion (DE+I). It’s not only the right thing to do for customers, Franchisees and employees—it’s a business imperative.

Privileges & Perquisites:

7-Eleven Global Solution Center

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Hassel free Relocation: