Data Analyst

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