Senior Business Intelligence Analyst

C.H. Robinson•Remote, MN
•$77,000 - $173,600

About The Position

C.H. Robinson is seeking a Senior Business Intelligence Analyst to turn open-ended business questions, freight market data, and external signals into decision-ready insights that influence commercial strategy, forecasting, and operational performance. The role combines advanced analytics, market intelligence, and business consulting to identify emerging opportunities, evaluate external market trends, and develop scalable analytical solutions that support strategic decision-making across C.H. Robinson.

Requirements

  • At least 6 years of experience in analytics, focused on developing business solutions using large-scale, high-quality datasets.
  • Advanced proficiency in SQL and experience working with relational databases.
  • Advanced ability with BI tools such as Power BI or Tableau.
  • Strong analytical thinking and problem-solving skills.
  • Advanced proficiency with cloud-based data platforms such as Snowflake, Azure, or AWS.
  • Proficiency in Python, R, or another scripting language for data analysis.
  • Comfort integrating generative AI tools into analytical workflows.
  • Bachelor’s degree in Business Analytics, Information Systems, Statistics, or a related field.

Nice To Haves

  • Understanding of data governance, data modeling, and ETL processes.
  • Experience in logistics, supply chain, or transportation industries.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Effective communication skills and ability to serve as a data, reporting, and business liaison through multiple mediums.
  • Values a diverse and inclusive work environment.

Responsibilities

  • Use internal and external data to identify business opportunities, emerging risks, and performance trends that shape strategic priorities.
  • Apply statistical techniques and business logic to translate complex data into clear insights and support data-informed decisions.
  • Communicate findings through concise, narrative-driven presentations tailored to executive and operational audiences.
  • Build and maintain dynamic dashboards, KPIs, and self-service analytics tools using platforms such as Power BI or Tableau.
  • Structure ambiguous business challenges into analytical approaches, define requirements, and recommend actionable solutions.
  • Develop predictive and forecasting models using internal and external market indicators to improve business planning and commercial decisions.
  • Evaluate and integrate external market intelligence, economic indicators, and public data to identify emerging trends and opportunities.
  • Build analytical prototypes and proof-of-concept solutions that can be operationalized and scaled across the organization.
  • Deliver analytical narratives, recommendations, and visualizations to enable informed business decisions.
  • Use AI-enabled tools and advanced analytics techniques to accelerate research, insight generation, and decision support.
  • Validate data, methodologies, models, and analytical outputs for accuracy, reliability, and business relevance.

Benefits

  • Three medical plans, including prescription drug coverage.
  • Enhanced fertility benefits.
  • Flexible Spending Accounts.
  • Health Savings Account, including employer contribution.
  • Dental and vision insurance.
  • Basic and supplemental life insurance.
  • Short-term and long-term disability coverage.
  • Paid observed holidays.
  • Two paid floating holidays for U.S. hourly employees.
  • Flexible Time Off for U.S. salaried employees, with no accruals or caps; PTO for other employees in the U.S. and Canada.
  • Paid parental leave.
  • Paid time off to volunteer in the community.
  • Charitable Giving Match Program.
  • 401(k) with 6% company matching.
  • Employee Stock Purchase Plan.
  • Career development, networking, and team-building opportunities.
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