Senior Business Intelligence Analyst

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Utilize both internal and external data sources to identify business opportunities, emerging risks, and performance trends.

• Implement statistical methods and business logic to convert complex data into comprehensible insights.

• Present findings through succinct, narrative-driven storytelling tailored for both executive and operational audiences.

• Design and manage dynamic dashboards, KPIs, and self-service analytics tools utilizing Power BI or Tableau.

• Transform ambiguous business challenges into structured analytical frameworks.

• Specify requirements and propose actionable solutions.

• Create predictive and forecasting models leveraging internal and external market indicators.

• Assess and incorporate external market intelligence, economic indicators, and public data sources.

• Develop prototypes and proof-of-concept analytical solutions to facilitate operationalization and organizational scaling.

• Produce analytical narratives, recommendations, and visualizations to inform business decisions.

• Employ AI-enabled tools and advanced analytics techniques to expedite research, insight generation, and decision support.

• Ensure the accuracy, reliability, and business relevance of data, methodologies, models, and analytical outputs.

⛳️ Requirements

• Over 6 years of experience in analytics, concentrating on the creation of business solutions utilizing large-scale, high-quality data sets.

• Expert-level proficiency in SQL and experience with relational databases.

• Advanced experience with BI tools such as Power BI or Tableau.

• Strong analytical thinking and problem-solving capabilities.

• Advanced proficiency with cloud-based data platforms like Snowflake, Azure, or AWS.

• Proficient in Python, R, or other scripting languages for data analysis.

• Comfortable incorporating generative AI tools into analytical processes.

• Bachelor’s degree in Business Analytics, Information Systems, Statistics, or a related discipline.

• Knowledge of data governance, data modeling, and ETL processes.

• Experience within logistics, supply chain, or transportation sectors.

• Ability to work independently while managing multiple priorities in a fast-paced setting.

• Effective communication skills and ability to serve as a liaison in data/reporting/business contexts across various platforms.

• Commitment to fostering a diverse and inclusive work environment.

🏝️ Benefits

• Three medical plans.

• Prescription drug coverage.

• Enhanced fertility benefits.

• Flexible Spending Accounts.

• Health Savings Account, including employer contribution.

• Dental and vision coverage.

• Basic and supplemental life insurance.

• Short-term and long-term disability benefits.

• Paid observed holidays.

• Two paid floating holidays for U.S. hourly employees.

• Flexible Time Off (FTO) for U.S. salaried employees — no accruals and no caps.

• Paid Time Off (PTO) for all other employees in the U.S. and Canada.

• Paid parental leave.

• Paid time off for volunteering in your community.

• Charitable Giving Match Program.

• 401(k) with 6% company matching.

• Employee Stock Purchase Plan.

• Opportunities for career development, networking, and team building.