Senior Data & Analytics Lead - Vendor & Category Performance

Patterson Companies

Saint Paul (MN)

Hybrid

USD 90,000 - 120,000

Full time

7 days ago

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Job summary

Patterson Companies in Saint Paul, MN, is seeking a Senior Data & Analytics Analyst to advance its data-driven culture through BI, analytics, and AI-enabled solutions. You will partner with Vendor Management, Category Management, Marketing, Finance, and Sales to transform enterprise data into actionable insights that drive vendor, product, and commercial performance.

The ideal candidate offers strong technical analytics skills, business acumen, and the ability to translate complex data into

Qualifications

Bachelor's degree in Business Analytics, Finance, Economics, Data Analytics, Information Systems, Statistics, or a related field.
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 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 both technical and non-technical audiences.
Familiarity with AI-enabled analytics and modern data platforms.

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.
Independently query, analyze, and interpret complex data using SQL and BI tools.
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 supporting 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 drivers of performance and translate findings into business recommendations.
Support the adoption of AI-enabled analytics and emerging BI/data capabilities.