Job Description - 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 


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 

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