Sr. D&T Analyst – DnA, Supply Chain

5 hours ago


Mumbai, Maharashtra, India General Mills Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Description:

Position Title

Senior D&T Analyst – Supply Chain

Function/Group

Digital & Technology

Location

Mumbai

Shift Timing

Regular

Role Reports to

D&T Manager – Supply Chain

Remote/Hybrid/in-Office

Hybrid

About General Mills

We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.

How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate

us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out

General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.

With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out

We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

Job Overview

Function Overview

The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents.

The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link

Purpose of the role

This is an exciting time to work in General Mills' Supply Chain & ITQ Organization We are accelerating Digital Transformation of our MAKE capabilities to provide a competitive advantage to our business. Technology at General Mills accelerates process transformation and business growth around the globe. To achieve business success, Digital and Technology uses leading edge technology, innovative thinking, and agile processes. One of General Mills' key technology priorities is driving business action through connected data.

This individual will help drive data strategy and processes, ensure the solutions are sustainable, and follow General Mills' Engineering standards. The role requires the ability to manage multiple initiatives and work well with various internal and external partners to bring capabilities to life across a variety of General Mills business teams. This role is estimated to be 80% development/technical work and 20% analyst work.

Key Accountabilities

  • Act as a key Manufacturing Technology, Data and Analytics technical leader with broad technical skills
  • Collaborate to develop the technology and capability roadmap, solutions towards manufacturing problem solving
  • Participate in the evaluation, implementation, and deployment of emerging tools and process in the Manufacturing Analytics space
  • Participate in the design and implementation of sustainable tools & processes to support the Manufacturing and General Mills data ecosystem
  • Support and develop communication & education plans for technical teams on technologies and processes in our ecosystem.

Minimum Qualification

  • Bachelor's Degree; 3+ years of hands-on experience building data analytics/engineering solutions
  • 3+ years of hands-on programming experience with one or more of Python, C#, Java, etc.
  • 3+ years of experience working with database systems and strong in SQL Experience developing complex SQLs for ad-hoc reporting
  • Experience with modern Cloud platforms
  • Experience with Kafka, MQTT, NATS or other message/streaming based technologies
  • Having used general software engineering tools and processes like git, Jenkins, Intellij/Eclipse, Bash terminal, Jira/progress tracking, Agile
  • ETL, reporting tools, data governance, data warehousing, structured and unstructured data
  • Effective verbal and written communication and influencing skills
  • Effective analytical and technical skills
  • Experience in Manufacturing or working with manufacturing in past roles
  • Experience in supply chain

Preferred Qualifications

  • Computer Science, MIS, or Engineering degree preferred
  • Strong Python coding skills
  • Experience in developing procedures and scripts for data migration
  • Experience in manufacturing or supporting manufacturing data use cases in the past
  • Experience with agile techniques or methods


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