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العودة إلى نتائج البحث‎

Supply Chain Data Analyst

قبل 10 أيام 2026/10/03
خدمات الدعم التجاري الأخرى
أنشئ تنبيهًا وظيفيًا لوظائف مشابهة
تم إيقاف هذا التنبيه الوظيفي. لن تصلك إشعارات لهذا البحث بعد الآن.

الوصف الوظيفي

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.

Job Description:


Collaborate with Innovative 3Mers Around the World


Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.


The Impact You’ll Make in this Role


The ideal candidate will independently analyze complex supply chain datasets, create impactful dashboards, and deliver insights that support data driven decision-making across the enterprise supply chain organization.


As a Data Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:


  • Implement solutions by extracting cleaning and validating data from multiple sources utilizing SQL and AI-assisted workflows.
  • Conduct advanced analysis- Collecting, processing, and modelling data to obtain valuable insights and inform strategic decision making.
  • Collaborate with cross-functional teams to define and translate business requirements into data solutions.
  • Utilize AI tools to accelerate data processing, Python script generation, and the analysis of complex supply chain datasets.
  • Present insights and recommendations to functional stakeholders.
  • Build and maintain scalable data models and Support improvements in data quality, governance, and process automation.

Your Skills and Expertise 


To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:


  • Bachelor’s degree or higher (completed and verified prior to start).
  • Overall, 7 years of experience, including a minimum of 3 years in data extraction and analysis and statistical analysis and analytical techniques.
  • 3 years’ experience in SQL and data visualization tools like Power BI, Tableau etc
  • Working knowledge of Python, coupled with a strong, demonstrated ability to leverage AI development tools (e.g., LLMs, coding copilots) to write code, debug, and execute data analysis efficiently.
  • Strong understanding of data modelling and relational databases and strong communication and presentation skills

Additional qualifications that could help you succeed even further in this role include:


  • Connected and optimized Snowflake data sources with BI platforms.
  • Wrote highly complex, performant SQL queries (window functions, CTEs) in Snowflake to uncover business trends.
  • Designed and implemented efficient data storage strategies within Snowflake using clustering keys, materialized views, and search optimization services.

Work Location: Hebbal, Bangalore (Karnataka), Hybrid Mode


Supporting Your Well-being


3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.


Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.


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