3 дня назад
Senior Data & Analytics Analyst – Vendor & Category Performance (AI)
85 500 - 11 396 667$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data & Analytics Analyst – Vendor & Category Performance (AI): Building scalable business intelligence, reporting, and AI-enabled analytics solutions to improve vendor, product, customer, and commercial performance with an accent on SQL, Power BI, financial metrics, and data storytelling. Focus on automating manual reporting, analyzing pricing, margins, rebates, promotions, and product mix, and translating complex data into executive-level recommendations.
Location: Hybrid position based at the office in St. Paul, Minnesota, United States
Salary: $85,500.00–$113,966.67 per year
Company
is a product-intensive healthcare and dental distribution company focused on vendor, product, customer, and commercial performance.
What you will do
- Develop scalable reports, dashboards, visualizations, and analytics solutions using enterprise data.
- Query, analyze, and interpret complex data with SQL and BI tools, including data fulfillment analysis.
- Analyze vendor, product, pricing, revenue, margin, volume, cost, product-mix, rebate, and incentive performance.
- Support vendor management, category management, marketing, finance, sales, and commercial decision-making with actionable insights.
- Replace manual spreadsheet reporting with automated, scalable, and self-service analytics.
- Support AI-enabled analytics, GenAI, analytical copilots, automation, and executive-level presentations.
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 and reporting platform.
- Strong analytical, problem-solving, data visualization, and data storytelling skills.
- Understanding of revenue, gross profit, margin, price, volume, cost, and product-mix metrics, with the ability to communicate recommendations to technical and non-technical audiences.
Nice to have
- 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, AI-enabled BI platforms, or third-party market and competitive data.
- Experience in distribution, manufacturing, healthcare, dental or medical devices, CPG, retail, or other product-intensive industries.
Culture & Benefits
- People-first, continuously advancing, and results-driven work environment.
- Medical, dental, and vision benefits with an integrated wellness program.
- 401(k) matching retirement savings plan.
- Paid time off, holiday pay, floating holidays, and volunteer time off.
- Educational assistance, paid parental and adoption leave, employee assistance, and employee discounts.
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