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 India Center (GIC)
Location:
Mumbai, India
Job Type:
Full-time
Job Mode:
Hybrid
Job Requisition ID:
34466
Years of Experience:
0–1.5 years
Company Description
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General Mills is a global food company known for creating some of the world’s most loved brands across more than 100 countries.
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Founded in 1866, the organization has a strong history of innovation and social responsibility. It operates with the philosophy that making food people love goes hand-in-hand with creating positive impact for the planet and communities.
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The company’s diverse product portfolio includes Cheerios, Pillsbury, Häagen-Dazs, Betty Crocker, and Nature Valley. Each brand holds a special place in homes worldwide.
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General Mills India Center (GIC), based in Mumbai, is the company’s global capability hub. It plays a key role in supporting global operations across supply chain, digital technology, consumer insights, sales, finance, and HR.
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With over 1,800 professionals, the center focuses on service excellence, digital innovation, and sustainability-driven solutions.
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The company is deeply committed to equity, inclusion, and diversity. It fosters a culture that values integrity, curiosity, and collaboration, encouraging employees to learn, experiment, and grow.
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Through its global presence and inclusive approach, General Mills continues to be a force for good, balancing purpose and profit in everything it does.
Profile Overview
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This entry-level position sits within the Supply Chain Analytics team at General Mills India Center. The team supports global supply chain operations by delivering actionable insights through data and analytics.
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The role contributes to various aspects of data lifecycle management, including extraction, transformation, and loading (ETL) from multiple systems. The focus is on maintaining data integrity while building dashboards, reports, and automated workflows that support strategic decision-making.
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The Analyst collaborates with cross-functional teams and senior analysts to develop business intelligence (BI) assets that optimize supply chain efficiency.
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This role offers the opportunity to build strong analytical and technical foundations, working with platforms such as Google Cloud Platform (GCP), SQL, Tableau, and Advanced Excel.
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The position encourages continuous learning, hands-on exposure to analytics tools, and real-world problem-solving in logistics and operations.
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The Analyst is also expected to strengthen their understanding of supply chain principles and key performance indicators, helping the company enhance data-driven decisions and operational outcomes.
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Beyond technical competence, this position requires attention to detail, effective communication, and collaboration across teams to deliver reliable analytical outputs.
Key Responsibilities
Data Extraction, Transformation, and Loading (ETL)
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Extract, transform, and load data from various sources such as GCP, SQL, SAP ERP, and AFO.
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Ensure accurate integration of data into analytics systems to maintain consistency across reporting pipelines.
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Write SQL and BigQuery scripts to manipulate data and create efficient queries for reporting.
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Maintain strong documentation for ETL processes, ensuring reproducibility and traceability of workflows.
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Collaborate with engineers to troubleshoot and optimize data pipelines.
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Validate incoming data sets for accuracy and consistency, applying checks for quality assurance.
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Assist in automating repetitive data handling tasks to improve process efficiency.
Business Intelligence Development
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Develop, maintain, and improve business intelligence solutions, dashboards, and automated reports that support data-driven decision-making.
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Work on creating clear, visually appealing dashboards in Tableau and Power BI for different stakeholders.
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Participate in model refinement, helping define KPIs, and ensuring alignment with business goals.
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Conduct quality reviews on dashboards to ensure accuracy and visual consistency.
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Identify and communicate areas for performance improvement in BI assets.
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Learn to integrate various data sources and understand their relationships for meaningful reporting.
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Collaborate with senior BI developers to introduce automation in report generation and monitoring.
Delivery and Execution
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Execute assigned analytics projects with accuracy and timeliness.
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Understand project scope, communicate effectively about deliverable timelines, and proactively escalate issues when necessary.
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Maintain documentation on data definitions, processes, and report usage guidelines.
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Present analysis findings in clear and concise formats that can be understood by non-technical stakeholders.
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Learn to balance multiple project priorities while maintaining high data quality.
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Gain familiarity with General Mills’ supply chain processes, including planning, sourcing, logistics, and manufacturing.
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Develop a habit of validating analytical outputs with real business outcomes.
Skills and Competencies
Technical Skills
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Proficiency in writing SQL queries for data extraction and analysis.
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Working knowledge of Google Cloud Platform (GCP), BigQuery, and SQL Server.
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Strong foundation in data visualization using Tableau and Power BI.
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Advanced Excel skills, including pivot tables, lookups, and automation using macros.
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Basic understanding of ETL concepts, data pipelines, and workflow management.
Analytical Skills
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Ability to analyze structured and unstructured data to derive actionable insights.
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Understanding of KPIs relevant to supply chain and logistics analytics.
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Competence in data validation, transformation, and model optimization.
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Capability to perform trend analysis and root-cause analysis using data-driven methods.
Interpersonal and Communication Skills
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Effective written and verbal communication skills for presenting technical findings to business teams.
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Collaborative mindset with openness to learning from peers and seniors.
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Capability to communicate data insights clearly to non-technical audiences.
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Proactive in identifying potential risks and suggesting mitigation measures.
Behavioral Attributes
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Attention to detail and commitment to data integrity.
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Adaptability to work in a hybrid environment with global teams.
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Positive attitude, ownership of work, and eagerness to learn new technologies.
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Time management and accountability for project delivery.
Qualifications
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Bachelor’s degree from a recognized university in any quantitative or technical discipline (Engineering, Computer Science, Statistics, or similar).
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0–1.5 years of experience in data analytics, BI, or data visualization preferred.
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Exposure to SQL, BigQuery, Tableau, Excel, or Google Cloud tools.
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Certification in SQL, Tableau, or GCP is desirable but not mandatory.
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Candidates pursuing or holding a master’s degree in analytics or engineering disciplines will be given preference.
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Strong academic background with an analytical mindset.
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Good understanding of data models and business reporting logic.
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Familiarity with concepts of supply chain analytics or consumer goods industry trends.
Additional Information
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This position reports to the Assistant Manager or Manager within the GIC Supply Chain Analytics division.
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The work hours are from 1:30 PM to 10:30 PM IST, aligning with U.S. business operations.
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The hybrid setup allows flexibility for both remote and in-office work depending on project needs.
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The organization invests heavily in employee learning and offers multiple development programs focused on analytics, leadership, and digital upskilling.
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General Mills provides a supportive, inclusive, and people-first culture that encourages creativity and continuous learning.
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Employees are empowered to explore their interests and take part in initiatives beyond their core roles.
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The company’s sustainability mission reflects in its daily practices, promoting eco-friendly solutions and responsible business operations.
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Career growth within General Mills GIC is progressive, with opportunities to move across analytics, data engineering, and global business functions.
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The company also emphasizes mental well-being, diversity, and recognition of high performance.
Please click here to apply.