Senior Data & Analytics Analyst – Vendor & Category Performance

Patterson Companies, Inc.•Saint Paul, MN
•$85,500 - $113,967•Hybrid

About The Position

The Senior Data & Analytics Analyst advances Patterson’s data-driven culture through business intelligence, analytics, and AI-enabled solutions. The role partners with Vendor Management, Category Management, Marketing, Finance, Sales, and executive leadership to turn enterprise data into actionable insights that improve vendor, product, customer, and commercial performance. The ideal candidate combines technical analytics skills with business and financial acumen and can communicate complex data as clear recommendations for business leaders and technical teams. The role is intended to work in a hybrid capacity for Patterson’s St. Paul, Minnesota office. Success is measured by reducing manual reporting, increasing automated and self-service analytics, improving visibility into vendor, product, and customer performance, accelerating executive reporting, and delivering actionable insights that influence vendor, category, marketing, and commercial decisions. The position operates primarily in an office environment, with team members working at desks or in meeting and collaboration spaces. The work areas include desks, chairs, computers, and other office equipment.

Requirements

  • Bachelor’s degree in Business Analytics, Finance, Economics, Data Analytics, Information Systems, Statistics, or a related field.
  • At least 5 years of experience in business intelligence, data analytics, commercial analysis, financial analysis, or a related field.
  • Strong SQL and advanced Excel skills.
  • Experience with Power BI or a comparable BI/reporting platform.
  • Strong analytical, problem-solving, data visualization, and data storytelling skills.
  • Understanding of business and financial measures such as revenue, gross profit, margin, price, volume, cost, and product mix.
  • Ability to translate complex data into actionable business recommendations.
  • Strong communication and relationship-building skills with technical and non-technical audiences.
  • Familiarity with AI-enabled analytics and modern data platforms.

Nice To Haves

  • Experience with vendor, supplier, category, product, pricing, promotional, rebate, or commercial analytics.
  • Experience with Microsoft Fabric, Azure, Databricks, Power BI semantic models, or DAX.
  • Experience with GenAI, analytical copilots, or AI-enabled BI platforms.
  • Experience working with third-party market or competitive data.
  • Experience in distribution, manufacturing, healthcare, dental/medical device, CPG, retail, or other product-intensive industries.

Responsibilities

  • Develop scalable reporting, dashboards, visualizations, and analytics solutions using enterprise data.
  • Partner with business leaders to understand requirements, identify analytics gaps, and deliver actionable insights.
  • Query, analyze, and interpret complex data using SQL and BI tools, including Data Fulfillment data.
  • Replace manual spreadsheet-based reporting with automated, scalable, and self-service solutions.
  • Perform ad hoc analysis, data mining, and trend analysis to identify opportunities and risks.
  • Analyze vendor, product, pricing, revenue, margin, volume, cost, and product-mix performance.
  • Develop analytics that support vendor management, category management, and commercial decisions.
  • Analyze vendor rebates, incentives, and other commercial programs.
  • Provide insights into customer acquisition, promotions, and marketing performance.
  • Identify key performance drivers and translate findings into business recommendations.
  • Support adoption of AI-enabled analytics and emerging BI and data capabilities.
  • Explore opportunities to use GenAI, analytical copilots, and automation to improve reporting and decision-making.
  • Help advance Patterson’s analytics maturity and self-service capabilities.
  • Work with cross-functional teams and senior leadership to address business questions and opportunities.
  • Communicate analytical findings through executive-level presentations and detailed visualizations.
  • Participate in cross-functional initiatives and continuously improve analytics processes and solutions.

Benefits

  • Full medical, dental, and vision benefits
  • Integrated Wellness Program
  • 401(k) Match Retirement Savings Plan
  • Paid Time Off (PTO)
  • Holiday Pay and Floating Holidays
  • Volunteer Time Off (VTO)
  • Educational Assistance Program
  • Full Paid Parental and Adoption Leave
  • LifeWorks Employee Assistance Program
  • Patterson Perks Program
  • Competitive benefits, unique incentive programs, and rewards for eligible employees
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