Data Analyst
Linde
Key Responsibilities
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.
- 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
- 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
- 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
- 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
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.
Vacancy posted 2 days ago
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