Description
3M is seeking a Packaging Data Automation Analyst to join its global Packaging team.
In this role, you will design and deliver data-driven solutions that empower business decisions across 3M's global teams.
Responsibilities
- Partner with cross-functional stakeholders across regions to translate business needs into scalable digital solutions, driving efficiency and data transparency.
- Apply a rational, structured mindset to problem-solving, ensuring solutions are logical, sustainable, and aligned with business priorities.
- Ensure data accuracy, integrity, and governance across all dashboards, reports, and automated processes.
- Design, develop, and maintain interactive Power BI dashboards that translate complex data into actionable insights for stakeholders across Packaging functions and regions.
- Write and optimize SQL queries to extract, transform, and analyze large datasets from multiple enterprise data sources.
- Build automation solutions using Microsoft Power Platform (Power Apps, Power Automate) and SharePoint to streamline workflows, eliminate manual tasks, and improve productivity.
- Provide training, documentation, and coaching to end-users to promote adoption of self-service analytics and digital tools.
Minimum Qualifications
- Bachelor's degree or higher in Data Analytics, Computer Science, Information Systems, Engineering, or a related field.
- 3–6 years of relevant experience in data analytics, business intelligence, or digital solutions development.
- Strong technical expertise in dashboarding, data modeling, and process automation.
- Proficiency in written and spoken English required; Chinese (Mandarin) language skills are a plus.
Required Software Proficiency
- Power BI (advanced dashboard design, DAX, data modeling)
- SQL (query writing, optimization, data extraction and transformation)
- Microsoft Power Platform (Power Apps, Power Automate)
- SharePoint (site design, lists, workflows, integration)
- Microsoft Office Suite (advanced Excel, PowerPoint, Word, Outlook)
- Python and AWS are a plus