Mid Level Senior Business Intelligence Analyst Jobs
Mid level senior business intelligence analyst jobs call for professionals ready to own reporting pipelines end to end, guide junior analysts, and translate data into decisions without waiting for direction. Roles are spread across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with 46% remote or hybrid options available, and employers like Amazon, Sutter Health, and MidFirst Bank hiring at this level now.
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CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world. We serve agriculture customers and consumers across the United States and around the world. Most of our employees are in the United States, but today we have employees in 19 countries. At CHS, we are creating connections to empower agriculture.
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 and Power BI, build data products using SQL, and create reporting and automation solutions using Microsoft Power Platform tools, including Power Apps and Power Automate.
- Collaborate with business and data engineering teams to translate business requirements into BI solutions that improve efficiency, validate data, and scale ad hoc analyses. Deliver actionable insights through reporting and visualization, communicating complex analytical and technical concepts in clear, business-friendly language.
- Partner with Data Engineering to build scalable data pipelines for ingestion, transformation, and distribution, and develop data models in Snowflake using dbt or similar tools to support advanced analytics across Snowflake, SAP 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
Additional Qualifications
- Ability to visualize and communicate complex data in a clear, actionable way
- Strong customer focus, with a passion for analytics and product quality.
- Finance background
- Experience in Lean and Agile Methodologies
- Use AI to automate/streamline tasks
- Experience using Python 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. #LI-WB1
CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law.
Benefits include medical, dental, vision, wellness programs, life insurance, health and dependent care spending accounts, paid time off, 401(k), pension, profit sharing, short- and long-term disability, tuition reimbursement and adoption assistance, subject to the eligibility requirements for each benefit plan.
CHS is an Equal Opportunity Employer/Veterans/Disability.
Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to chscareers@chsinc.com; to verify that the communication is from CHS.
CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world. We serve agriculture customers and consumers across the United States and around the world. Most of our employees are in the United States, but today we have employees in 19 countries. At CHS, we are creating connections to empower agriculture.
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 and Power BI, build data products using SQL, and create reporting and automation solutions using Microsoft Power Platform tools, including Power Apps and Power Automate.
- Collaborate with business and data engineering teams to translate business requirements into BI solutions that improve efficiency, validate data, and scale ad hoc analyses. Deliver actionable insights through reporting and visualization, communicating complex analytical and technical concepts in clear, business-friendly language.
- Partner with Data Engineering to build scalable data pipelines for ingestion, transformation, and distribution, and develop data models in Snowflake using dbt or similar tools to support advanced analytics across Snowflake, SAP 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
Additional Qualifications
- Ability to visualize and communicate complex data in a clear, actionable way
- Strong customer focus, with a passion for analytics and product quality.
- Finance background
- Experience in Lean and Agile Methodologies
- Use AI to automate/streamline tasks
- Experience using Python 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. #LI-WB1
CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law.
Benefits include medical, dental, vision, wellness programs, life insurance, health and dependent care spending accounts, paid time off, 401(k), pension, profit sharing, short- and long-term disability, tuition reimbursement and adoption assistance, subject to the eligibility requirements for each benefit plan.
CHS is an Equal Opportunity Employer/Veterans/Disability.
Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to chscareers@chsinc.com; to verify that the communication is from CHS.
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Mid Level Senior Business Intelligence Analyst Jobs: Frequently Asked Questions
How do I get a mid level senior business intelligence analyst job?
Position yourself around ownership, not just output. Highlight projects where you defined the analytical approach, built or maintained dashboards independently, and influenced a business decision. Recruiters at this level want to see that you can scope work, handle ambiguity, and deliver without constant direction. Tailor your resume to show measurable impact, such as reduced reporting time or improved forecast accuracy, rather than listing tools alone.
Which companies hire mid level senior business intelligence analysts?
Companies hiring mid level senior business intelligence analysts right now include Amazon, Sutter Health, and MidFirst Bank, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises with mature data teams as well as growth-stage companies building out their BI function for the first time.
Are there remote mid level senior business intelligence analyst jobs?
Yes, remote and hybrid options are common at this level. About 46% of mid level senior business intelligence analyst openings are remote or hybrid as of November 2026, reflecting strong demand for experienced analysts who can work independently across distributed teams. On-site roles do exist, particularly in industries like finance and healthcare where data governance or security requirements apply.
How do I move up to a mid level senior business intelligence analyst role?
Growing into a mid level role means building a body of work that shows increasing ownership. Early-career analysts typically start by supporting dashboards and ad hoc queries, then gradually take on full reporting domains, improve data models, and present findings directly to stakeholders. Deepening skills in SQL, a BI platform like Tableau or Power BI, and at least one data warehouse environment while demonstrating consistent, measurable business impact is the core progression path.
Which industries hire the most mid level senior business intelligence analysts?
Mid Level senior business intelligence analyst roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors generate large volumes of operational and customer data that require dedicated analysts who can move from raw data to actionable insight without heavy supervision.