Business Intelligence Analyst

Land O'LakesArden Hills, MN
1d$81,200 - $121,800Hybrid

About The Position

Land O'Lakes is seeking a talented and agile Business Intelligence (BI) Analyst to join our Advanced Analytics team in support of our Strategic Retail Alliances (SRA) group. In this high‑visibility role, you will translate business needs into actionable analytics, develop insights that drive growth and performance, and partner closely with internal stakeholders and external customers. The ideal candidate combines strong technical skills, business acumen, and the ability to clearly communicate complex insights—while actively leveraging modern analytics and AI tools.

Requirements

  • Bachelor’s degree or higher in a relevant field (e.g., data analytics, statistics, business, economics, agricultural sciences, or a related discipline).
  • 3+ years of professional experience in data analysis, business intelligence, or a related analytics role.
  • Hands‑on experience developing dashboards, reports, and data models to support business decision‑making.
  • Experience working in a cross‑functional, stakeholder‑driven environment.
  • Strong analytical and problem‑solving skills with the ability to translate data into clear business insights.
  • Proficiency in SQL for querying and analyzing large datasets.
  • Experience with business intelligence and analytics tools including Power BI
  • Proven ability to collaborate with multiple stakeholders and manage competing priorities.
  • Interest in and experience using AI‑enabled tools to support analytics and insight generation.

Responsibilities

  • Partner closely with the Strategic Retail Alliances team to understand business needs and translate them into effective analytics solutions.
  • Execute data discovery, analysis, and visualization to deliver timely, actionable insights for strategic decision‑making.
  • Design, develop, and report on key performance indicators (KPIs).
  • Build and maintain data models, dashboards, and reports using Power BI.
  • Collaborate cross‑functionally with business partners and product teams to define requirements, test solutions, and deliver business value.
  • Proactively identify opportunities to streamline data workflows, improve dashboard usability, and increase analytics efficiency.
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