Website:
7-elevengsc.com
Job details:
Role Description
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.
At 7-Eleven we are guided by our
Leadership Principles. Each principle has a defined set of behaviours which help guide the 7-Eleven GSC team to Serve Customers and Support Stores.
- Be Customer Obsessed
- Be Courageous with Your Point of View
- Challenge the Status Quo
- Act Like an Entrepreneur
- Have an “It Can Be Done” Attitude
- Do the Right Thing
- Be Accountable
About This Opportunity Responsibilities
- Lead the design, implementation, and continuous improvement of enterprise-wide data quality frameworks, standards, and best practices.
- Define, monitor, and report on data quality KPIs, scorecards, and SLAs to measure data health across critical business domains.
- Develop and maintain automated data quality checks, validation rules, reconciliation processes, and exception reporting frameworks.
- Perform data profiling, anomaly detection, root-cause analysis, and impact assessments to identify and resolve data quality issues.
- Write and optimize complex SQL queries to analyze, validate, and reconcile large and complex datasets across multiple source systems.
- Develop Python-based automation solutions to streamline data validation, monitoring, reconciliation, and issue remediation processes.
- Leverage AI/ML techniques and statistical methods to detect data anomalies, predict quality issues, and improve data observability.
- Partner with Data Engineering teams to embed data quality controls within ETL/ELT pipelines and data transformation processes.
- Collaborate with Data Governance, Business, and Technology teams to define critical data elements, business rules, and quality standards.
- Ensure data integrity, consistency, completeness, accuracy, and timeliness across enterprise data platforms and reporting environments.
- Support metadata management, data lineage, and data catalog initiatives to improve transparency and traceability of data assets.
- Design and maintain dashboards, scorecards, and AI-enabled monitoring solutions that provide visibility into data quality performance, trends, and risks.
- Lead investigations of data incidents, coordinate remediation efforts, and implement preventive controls to reduce recurring issues.
- Mentor and guide analysts on data quality methodologies, Python programming, automation techniques, AI-driven analytics, and technical best practices.
- Drive continuous improvement by identifying opportunities to leverage Generative AI, machine learning, and intelligent automation to enhance data quality processes and operational efficiency.
Educational & Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related quantitative field.
- Minimum 7+ years of experience in Data Analytics, Data Quality, Data Governance, Business Intelligence, or related disciplines.
- Proven experience leading data quality initiatives, projects, or teams within complex enterprise environments.
- Advanced proficiency in SQL with hands-on experience querying, validating, reconciling, and analyzing large-scale datasets.
- Strong programming skills in Python with experience developing automation solutions, data validation frameworks, APIs, and analytical workflows.
- Experience applying AI/ML techniques, statistical analysis, or anomaly detection models to improve data quality, monitoring, and decision-making processes.
- Experience working with modern cloud data platforms such as Databricks, Snowflake etc.
- Solid understanding of data warehousing concepts, data modeling, ETL/ELT processes, data lifecycle management, and data governance principles.
- Familiarity with Generative AI tools, AI-assisted analytics, automation frameworks, and modern data quality/observability platforms.
- Excellent analytical, problem-solving, communication, stakeholder management, and cross-functional collaboration skills, with the ability to influence both business and technical teams.
- Established data stewardship best practices and governance frameworks to improve data reliability.
- Defined data ownership, stewardship responsibilities, and data quality standards across business units.
- Automated data quality monitoring processes, reducing manual effort and improving data accuracy.
- Partnered with data architects, data engineers, and business analysts to implement enterprise-wide governance solutions.
Preferred Technical Skills
- SQL (Advanced)
- Retail industry experience is preferred.
- Python (Pandas, NumPy, PySpark, APIs, Automation Frameworks)
- Data Quality & Observability Tools (Monte Carlo, Informatica DQ, etc.)
- Power BI, Tableau, or similar BI platforms
- Snowflake, Databricks, Azure, AWS, or GCP Data Services
- Machine Learning & Anomaly Detection
- Generative AI tools (Copilot, Windsurf, Codex, ChatGPT Enterprise, Azure OpenAI)
- Git, CI/CD, and DevOps practices for analytics and automation solutions
- Data Lineage, Metadata Management, and Governance Platforms (Collibra, Alation, etc.)
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 offers a comprehensive benefits plan tailored to meet the needs and improve the overall experience of our employees, aiding in the management of both their professional and personal aspects.
Work-Life Balance: Encouraging employees to unwind, recharge, and find balance, we offer flexible and hybrid work schedules along with diverse leave options. Supplementary allowances and compensatory days off are provided for specific work demands.
Well-Being & Family Protection: Comprehensive medical coverage for spouses, children, and parents/in-laws, with voluntary top-up plans, OPD coverage, day care services, and access to health coaches. Additionally, an Employee Assistance Program with free, unbiased and confidential expert consultations for personal and professional issues.
Top of Form
Wheels and Meals: Free transportation and cafeteria facilities with diverse menu options including breakfast, lunch, snacks, and beverages, customizable and health-conscious choices.
Certification & Training Program: Sponsored training for specialized certifications. Investment in employee development through labs and learning platforms.
Hassel free Relocation: Support and reimbursement for newly hired employees relocating to Bangalore, India.
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