Senior Business Intelligence Analyst - Finance

Summary

CHS has an exciting opportunity in our Finance Data Analytics division. We are seeking a Senior Business Intelligence Analyst to join a talented, energetic team, making a measurable impact through the work you do every day. You must have excellent communication skills, both verbal and written, exceptional analytical problem-solving skills and be able to work independently as well as in a team environment.

Responsibilities

• Develop and Support Finance reporting using SAC, Power BI, and other Microsoft Power Platform tools for reporting and automation, including Power Apps and Power Automate.
• Collaborate with business and data engineering teams to translate business requirements into BI solutions, thereby improving efficiency, validating data, scaling ad-hoc analyses, and delivering actionable insights through reporting and visualization.
• Work with Data Engineering on scalable data pipelines (ingestion, transformation, distribution) and data models in Snowflake/Datasphere, ensuring alignment with advanced analytics needs across Snowflake, Datasphere, and Microsoft platforms.
• Support prioritizing requests and ensuring timely delivery.
• Apply an understanding of data engineering concepts (modeling, pipelines, security, Azure DevOps version control) to consult effectively with technical teams and ensure solutions are scalable and reliable.
• Drive continuous improvement by identifying, designing, and implementing process automation, optimizing data delivery, and enabling greater scalability.
• Promote a culture of innovation, learning, and data governance by monitoring data quality and adhering to standard processes.
• Providing innovative solutions to support analysis and insights for Finance teams.
• Support business decisions with ad hoc analysis as needed.
• Support transition from legacy decommissioned platforms

Minimum Qualifications (required)

• Bachelor’s degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science or related field (or equivalent work experience, education and/or training)
• 4+ years of relevant experience in Data Analytics, Data Modelling and Data Visualization, including:
    - Data Modeling using SQL
    - Data visualization using Power BI or SAC or Tableau
    - Version control using Azure DevOps or Git
• Data Warehouse platforms such as Snowflake
• Ability to visualize and communicate complex data in a clear, actionable way
• Strong customer focus, with a passion for analytics and product quality.

Additional Qualifications

• Finance background
• Experience in Lean and Agile Methodologies
• Experience using Python and/or R for data science, analytics, and statistical modeling
• Pre-employment screening is based on the job requirements and industry guidelines and may or may not be required for the position. If required, selected candidates must pass pre-employment screenings to include all or a combination of drug, criminal, motor vehicle check, physical requirements and FMSCA Clearinghouse

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