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General Mills is hiring for a fresher entry level Data Analyst – Business Intelligence role in India



Position:
Data Analyst – Business Intelligence, GIC SC Analytics

Company:
General Mills

Location:
Mumbai, India

Job type:
Full-time

Job mode:
Hybrid

Job requisition id:
35057

Years of experience:
0–1.5 years


Company Description

  • General Mills is one of the world’s largest food companies with a legacy of over 150 years. The organization is known for iconic brands such as Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs.

  • Operating across 100 countries and six continents, General Mills continues to grow as an innovation-driven company that values both tradition and progress.

  • The company’s operations in India are managed through the General Mills India Center (GIC) based in Mumbai, which functions as the global shared services hub.

  • The GIC supports multiple areas including Supply Chain, Finance, HR, Digital & Technology, Consumer Insights, Sales, and Enterprise Business Services.

  • The center employs over 1,800 professionals and focuses on delivering business value, operational excellence, and continuous learning opportunities.

  • General Mills fosters an inclusive and equitable workplace, with initiatives to build diverse teams and promote gender balance in leadership.

  • Learning and capacity-building are integral to the organization’s philosophy, and employees are encouraged to grow personally and professionally through structured programs.

  • The company maintains a strong commitment to sustainability, ensuring that food production benefits both the planet and its people.

  • With a strong foundation rooted in integrity and innovation, General Mills continues to uphold its purpose of “making food the world loves.”

  • Its leadership team promotes creativity, social responsibility, and long-term thinking, aligning with the company’s goal of being a force for good while maintaining business success.


Profile Overview

  • The Analyst – Business Intelligence role in the GIC SC Analytics team focuses on data management, visualization, and business insights related to supply chain operations.

  • The primary goal is to transform data into actionable intelligence that supports business decisions across sourcing, logistics, manufacturing, and planning functions.

  • The role contributes to the extraction, transformation, and loading (ETL) of data from various systems such as SQL Server, GCP, AFO, and SAP ERP.

  • It involves assisting in the development and maintenance of dashboards, automation tools, and BI reports that optimize business outcomes.

  • The analyst works closely with senior professionals, managers, and cross-functional stakeholders to ensure timely project delivery and data accuracy.

  • The position serves as an entry point for individuals interested in the intersection of data analytics and supply chain management.

  • It offers an opportunity to build expertise in key areas such as data visualization, data validation, query writing, and KPI measurement.

  • The analyst will also develop a fundamental understanding of supply chain principles and metrics that are critical for business performance monitoring.

  • The role promotes collaboration and encourages proactive communication with both technical and non-technical teams.

  • It is designed to develop technical, analytical, and problem-solving abilities in a global business environment, preparing the candidate for advanced roles in analytics.


Key Accountabilities

Data Extraction, Transformation, and Loading (ETL):

  • Collect and transform raw data from multiple systems including Google Cloud Platform (GCP), SQL, AFO, and SAP ERP.

  • Write and execute SQL or BigQuery scripts for data manipulation, cleansing, and analysis.

  • Maintain accuracy and consistency across data sets by applying validation checks.

  • Support routine ETL workflows and data refresh cycles to ensure reliability of reports and dashboards.

  • Troubleshoot data issues and assist in optimizing query performance.

Business Intelligence Development:

  • Build and enhance business intelligence (BI) dashboards and visualization tools that aid in performance tracking.

  • Participate in the development of automation scripts to improve reporting efficiency.

  • Collaborate with senior analysts and data engineers to refine data models and reporting architecture.

  • Apply visualization best practices to make data interpretation intuitive for business users.

  • Assist in quality assurance and documentation of BI solutions.

Delivery Execution:

  • Execute project tasks as per defined scope and timelines.

  • Communicate progress and potential risks proactively to project leads or managers.

  • Ensure deliverables align with business requirements and internal standards.

  • Contribute to process improvements through innovative ideas and analytical insights.

  • Maintain effective collaboration with team members, stakeholders, and cross-functional units.

Analytical Understanding:

  • Develop a working knowledge of supply chain operations and performance indicators.

  • Analyze trends and patterns within datasets to identify business opportunities.

  • Assist in preparing presentations or reports for internal stakeholders.

  • Gain exposure to predictive and prescriptive analytics concepts through hands-on project participation.

  • Learn to interpret and translate analytical results into actionable business recommendations.


Qualifications

Educational Background:

  • Bachelor’s degree from an accredited university is mandatory.

  • Preferred fields include Engineering, Technology, or related disciplines.

  • A Master’s degree is advantageous but not compulsory.

Experience:

  • 0 to 1.5 years of professional experience in data analysis, visualization, or business intelligence.

  • Internship or project experience in analytics tools and database management will be considered valuable.

Technical Skills:

  • Strong command over SQL and BigQuery for querying and data management.

  • Familiarity with Google Cloud Platform (GCP) and its analytical services.

  • Hands-on experience with Tableau or similar visualization platforms.

  • Advanced proficiency in Microsoft Excel for analytics and automation.

  • Knowledge of data validation, cleaning, and performance optimization techniques.

Soft Skills:

  • Clear communication skills, both written and verbal.

  • Ability to collaborate effectively within a diverse, cross-functional team.

  • Positive and proactive approach to challenges and problem-solving.

  • Capacity to manage multiple tasks simultaneously with attention to detail.

  • Eagerness to learn and adapt in a fast-paced work environment.

Preferred Certifications:

  • SQL or GCP certification is beneficial.

  • Tableau or Excel certification is a plus.

  • Exposure to supply chain analytics or CPG domain understanding adds value.


Additional Information

  • The Analyst – Business Intelligence role is based at the General Mills India Center (GIC) in Mumbai, operating under a hybrid work structure.

  • Working hours are typically from 1:30 PM to 10:30 PM, allowing coordination with global teams across time zones.

  • The position reports to the Assistant Manager or Manager within the Business Intelligence team of Supply Chain Analytics.

  • Employees are encouraged to participate in company-led initiatives for learning, upskilling, and personal growth.

  • General Mills provides an inclusive and supportive work environment that values innovation and continuous improvement.

  • The organization promotes career progression through structured performance reviews and mentoring opportunities.

  • Collaboration, respect, and diversity are key elements of the workplace culture.

  • The company’s approach emphasizes balance between business growth and social responsibility, ensuring sustainable operations.

  • Team members are expected to exhibit integrity, curiosity, and accountability in all aspects of their work.

  • The position offers a strong foundation for individuals aiming to build a career in data analytics within the global consumer goods industry.


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