> Markdown version of [/jobs/ext/4330708-business-intelligence-analyst-senior](https://www.wearedevelopers.com/jobs/ext/4330708-business-intelligence-analyst-senior). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst - Senior - **Company:** Nycor Technical - **Location:** Maple Grove, MN, United States - **Experience:** Expert - **Salary:** $104,000.0 - $149,760.0 - **Contract:** Temporary to permanent - **Skills:** Microsoft Excel, Data Analysis, Power BI, SQL Databases, Data Strategy, Data Analytics - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a36ead4e4b76362c ## About the Role * Bachelor's degree in data analytics, data science, or a closely related field. * Five or more years of progressive experience in business intelligence, data analytics, or a related discipline. * Advanced proficiency with Power BI, SQL, and Excel, with an interest in learning additional analytics tools and technologies. * Strong communication skills and the ability to present findings clearly to a range of audiences. * Knowledge of supply chain and sales and operations planning, along with a desire to deepen expertise in these areas. ## Description The Senior Business Intelligence Analyst will help advance data-driven strategy, improve operational performance, and strengthen reporting and visualization across the organization. Partnering with finance leadership and cross-functional teams, this individual will help shape and execute a business intelligence roadmap that turns complex data into clear, actionable insights. The ideal candidate is a forward-thinking analytics professional who can influence both strategic planning and day-to-day business decisions., * Partner with finance leaders and cross-functional stakeholders to define and deliver a practical BI roadmap. * Develop analytics, dashboards, and visualizations that support strategic and operational decision-making. * Translate complex data into clear insights for both technical and non-technical audiences. * Identify opportunities to improve reporting, operational efficiency, and business performance through data. * Serve as a trusted resource and thought leader for analytics and business intelligence initiatives.