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Data Analyst

Linde Advanced Material Technologies
Memphis, Tennessee, United States Posted Jul 9, 2026
On-site

About this role

Data Analyst

Description

Key Responsibilities

  • Partner with sales, operations, and leadership to turn business questions into actionable insights

  • Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy

  • Build and maintain dashboards, reports, and analytics solutions that help teams track performance and make decisions

  • Leverage Microsoft Fabric and modern analytics tools to deliver scalable reporting and data solutions

  • Automate recurring data pulls, reporting processes, and workflows to improve efficiency and reduce manual effort

  • Utilize AI tools and emerging technologies to enhance productivity, streamline analysis, and uncover new opportunities

  • Support ad hoc requests and investigate business issues to identify root causes and recommend improvements

  • Think creatively and challenge conventional approaches to solve complex business problems

  • Continuously look for opportunities to do more with less by improving processes, increasing automation, and maximizing the value of available resources

  • Help drive a data-driven culture by translating complex data into clear, actionable business recommendations

  • Required Qualifications

  • Bachelor's degree in a related field (or equivalent hands-on experience)

  • 2+ years of experience working with data in a business environment

  • Strong skills in Excel, SQL, and report writing

  • Proficiency in Microsoft Fabric and Power BI

  • Experience leveraging AI tools to improve analysis, reporting efficiency, and business outcomes

  • Ability to transform complex, real-world data into meaningful insights and recommendations

  • Strong analytical and problem-solving skills with a demonstrated ability to think outside the box

  • Personable communicator who can explain the "so what" to a non-technical audience and build trust across teams

  • Preferred Qualifications

  • Experience with data modeling, automation, and business intelligence best practices

  • Familiarity with Python or other analytics/programming languages

  • Understanding of statistical analysis and predictive analytics concepts

  • Experience optimizing business processes through automation and AI-driven solutions

  • Strong attention to detail, intellectual curiosity, and a continuous improvement mindset

  • Demonstrated ability to balance innovation with efficiency and consistently find ways to accomplish more with less

  • What Success Looks Like

  • Delivers trusted, actionable insights that influence business decisions

  • Identifies opportunities for automation and process improvement

  • Uses AI and analytics tools to increase team productivity and effectiveness

  • Brings innovative thinking and fresh perspectives to business challenges

  • Creates scalable reporting solutions that reduce manual effort and improve decision-making across the organization

Qualifications

  • Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
  • This employer is required to notify all applicants of their rights pursuant to federal employment laws.
  • For further information, please review the Know Your Rights notice from the Department of Labor.

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