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How much do senior business intelligence bi developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for senior business intelligence bi developer in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

Is AI replacing BI?

AI is transforming Business Intelligence (BI) by automating data analysis and enabling more advanced insights, but it is generally seen as a complement rather than a replacement. Senior BI developers are increasingly integrating AI tools and machine learning models into BI workflows to enhance decision-making, requiring skills in data modeling, programming, and analytics. AI enhances BI capabilities but does not eliminate the need for skilled professionals to interpret and manage data systems.

How much do senior BI developers make in the US?

Senior Business Intelligence (BI) developers in the US typically earn between $90,000 and $130,000 annually, with salaries varying based on experience, location, and industry. They often have skills in tools like Power BI, Tableau, or SQL, and may hold certifications that can influence compensation.

What are some typical challenges faced by Senior Business Intelligence BI Developers when integrating data from multiple sources?

Senior Business Intelligence BI Developers often encounter challenges such as handling inconsistent data formats, ensuring data quality, and resolving discrepancies between source systems. Integrating data from multiple platforms requires robust ETL (Extract, Transform, Load) processes and close collaboration with data owners and business stakeholders. Additionally, developers must optimize data models for performance and scalability, especially when dealing with large datasets, while maintaining clear documentation and version control.

What is the difference between Senior Business Intelligence Bi Developer vs Business Intelligence Analyst?

AspectSenior Business Intelligence Bi DeveloperBusiness Intelligence Analyst
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in BI toolsBachelor's in related fields; certifications in BI tools are common
Work EnvironmentDevelops and maintains BI systems, works closely with data engineers and developersAnalyzes data, creates reports, and provides insights to stakeholders
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for data infrastructureCommon across industries for decision support and reporting

The Senior Business Intelligence Bi Developer focuses on building and optimizing BI systems, requiring technical expertise in data warehousing and ETL processes. In contrast, the Business Intelligence Analyst primarily interprets data, creates reports, and provides insights. Both roles require similar credentials but differ in their core responsibilities and daily tasks.

What are the key skills and qualifications needed to thrive as a Senior Business Intelligence (BI) Developer, and why are they important?

To thrive as a Senior Business Intelligence BI Developer, you need advanced expertise in data modeling, SQL, ETL processes, and a strong background in analytics or computer science. Mastery of BI tools such as Power BI, Tableau, or SSIS, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically required. Analytical thinking, problem-solving, and effective communication are critical soft skills for translating complex data into actionable insights for stakeholders. These competencies ensure accurate data-driven decision-making and the successful delivery of business intelligence solutions.

Is business intelligence developer a good career?

A business intelligence developer is a valuable role that involves designing and implementing data analysis solutions using tools like SQL, Power BI, or Tableau. It offers strong job growth, competitive salaries, and opportunities to work in various industries, making it a solid career choice for those interested in data and analytics.

What is the salary of a business intelligence developer?

The salary of a senior business intelligence developer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with expertise in tools like Tableau, Power BI, or SQL may command higher compensation, especially with certifications and advanced skills.

What is a Senior Business Intelligence (BI) Developer?

A Senior Business Intelligence (BI) Developer is an experienced professional who designs, develops, and maintains data analytics and reporting solutions for organizations. They work with large datasets, create dashboards, and implement data models to help businesses make data-driven decisions. Senior BI Developers typically collaborate with stakeholders to understand business requirements and translate them into technical solutions using BI tools and technologies. Their expertise often includes data warehousing, ETL (Extract, Transform, Load) processes, and advanced data visualization. They also mentor junior team members and ensure the accuracy, reliability, and security of business intelligence systems.
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Infographic showing various Senior Business Intelligence Bi Developer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Business Intelligence (BI) Developer

Business Intelligence (BI) Developer

Canal Insurance

Greenville, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 hours ago

Job description

About Canal Insurance

Canal Insurance Company specializes in insurance for commercial trucking and specialty transportation operations. Canal was founded in 1939 and is located in Greenville, South Carolina. At Canal, we recognize that our success would not be possible without the hard work and dedication of our employees. We know that happiness and productivity go hand in hand, and to that end, we consciously cultivate a culture that enables us to recruit and retain the very best talent in the business.

A Culture With YOU in Mind

  • Located in beautiful downtown Greenville, SC
  • Career growth & advancement opportunities
  • Comprehensive benefits package
  • Employee referral program
  • Casual dress code
  • Innovation-focused & customer-centric
  • 80+ years of industry expertise
  • Committed to giving back to our community
  • Unquestioned integrity and commitment

 

Benefits at Canal

  • Basic & Voluntary Life Insurance Plans
  • Medical, Dental, & Vision
  • Short Term & Long Term Disability
  • 401(k) plan with company match up to 6%
  • Flexible Spending Accounts
  • Employee Assistance Programs
  • Generous PTO Plan

 

Business Intelligence (BI) Developer

Canal Insurance Company is seeking a highly skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade reporting, dashboards, and analytical solutions. This role leverages Power BI and IBM Cognos Analytics to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations. 

The ideal candidate brings a strong combination of insurance domain expertise, technical BI proficiency, and the ability to translate complex business requirements into scalable, governed data and visualization solutions. 

Key Responsibilities:

Data & Guidewire Integration 

  • Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party data sourcesparty data sources
  • Build reusable semantic and data models to support enterprise analytics
  • Collaborate closely with business stakeholders and Data Engineering teams on ETL/ELT processes and curated data layer integration 

    BI & Visualization Development 

    • Develop interactive dashboards and reports using:
      • Power BI
      • IBM Cognos Analytics
        • Build executive level dashboards (Senior Leadership Team ready views, SLTready views) 
        • Develop operational dashboards across the enterprise 
        • Implement row level security (RLS) and role based accesslevel security (RLS) and rolebased access 
        • Translate business KPIs into structured, reusable data models 
        • Partner with Claims, Underwriting, and Finance stakeholders to refine and standardize metrics 
        • Design and deliver cloudbased BI solutions on Azure, leveraging Azure Data Lake, Azure SQL, and Power BI to enable scalable, secure analytics.  
        • Build and optimize semantic models and dashboards using Power BI, integrating data from Azure platforms with strong performance, governance, and cost efficiency. 

                   

                  Data Modeling & Architecture 

                  • Design and implement star schemas for reporting and analytics 
                  • Develop advanced DAX calculations and measures in Power BI 
                  • Optimize report performance through query tuning and aggregation strategies 
                  • Ensure data lineage, governance, and metric consistency 
                  • Support Medallion architecture (Raw → Silver → Gold) 
                  • Leverage Copilot and other LLM tools to enable self service analytics and reportingservice analytics and reporting 

                             

                            Governance & Quality 

                            • Perform data validation and reconciliation against source systems 
                            • Implement and support data quality checks 
                            • Support audit and regulatory reporting requirements 
                            • Document data definitions, transformations, and business logic 

                                  Required Qualifications:

                                  Technical Skills:

                                  • 5+ years of experience in BI / Data Analytics development 
                                  • 3+ years working with insurance products 
                                  • Strong hands on experience with: on experience with:  
                                  • Power BI (DAX, Power Query, data modeling) 
                                  • IBM Cognos Analytics 
                                  • Strong SQL skills (complex joins, window functions, performance tuning) 
                                  • Experience with Azure, Data Lake, and SQL Server preferred 
                                  • Experience working with large insurance datasets 

                                                Insurance Domain Knowledge: 

                                                • Strong understanding of:  
                                                  • P&C insurance operations 
                                                  • Claims lifecycle and reserving concepts 
                                                  • Underwriting workflows 
                                                  • Agency hierarchy  
                                                  • Premium and billing structures 
                                                  • Ability to interpret insurance KPIs and regulatory metrics 

                                                   Preferred Qualifications:

                                                  • Experience with Guidewire DataHub / InfoCenter 
                                                  • Experience with ETL tools such as ADF, SSIS, Informatica, or similar 
                                                  • Experience supporting AMS or modernization programs 
                                                  • Familiarity with Data Governance and MDM concepts 
                                                  • Experience supporting Digital / Transformation initiatives 

                                                          Soft Skills: 

                                                          • Strong stakeholder communication and collaboration skills 
                                                          • Ability to work effectively with both business and technical teams 
                                                          • Executive ready storytelling through dashboards and insightsready storytelling through dashboards and insights 
                                                          • Detail oriented with a strong analytical mindsetoriented with a strong analytical mindset 
                                                          • Demonstrated ownership of outcomes, not just report development 

                                                                  Apply