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Lead Bi Developer Jobs in Missouri (NOW HIRING)

Drive operational QA execution and technical engineering leadership within each release cycle for ... Maintain strict bi-directional traceability between test cases and defects to provide a complete ...

Lead other engineers to develop features on your projects. qualifications: - Bachelor Degree in ... BI, Jupyter, and R Studio preferred. - Strong knowledge in programming languages and coding ...

SOFTWARE DEVELOPER

California, MO · On-site

$110 - $165/hr

... to lead the design, development, and maintenance of complex software applications. The ideal ... BI) systems, data warehousing, engineering services, and custom database and application ...

$50.75 - $67/hr

As Sr. .Net Developer II , you'll serve as a senior full-stack engineer and technical lead ... Power BI - with the judgment to know when low-code is and isn't the right answer. * Working ...

Lead Product Manager-Technical

O Fallon, MO · Hybrid

$156K - $180K/yr

Partner closely with engineering teams to deliver scalable, low-latency, and highly resilient ... BI, or similar. Analytical and data-driven mindset, defining KPIs, dashboards, and metrics to ...

Lead Product Manager-Technical

O Fallon, MO · On-site

$156K - $180K/yr

... Engineers, Technical Program Managers, User Experience, and cross-functional stakeholders to ... BI, Easy BI, or similar. • Analytical and data-driven mindset, defining KPIs, dashboards, and ...

Showing results 21-40

Lead Bi Developer information

See Missouri salary details

$51

$58

$65

How much do lead bi developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for lead bi developer in Missouri is $58.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $60.19 per hour, depending on experience, location, and employer.

What is a Lead BI Developer?

Lead BI Developers are senior professionals responsible for designing, building, and managing business intelligence (BI) solutions that help organizations make data-driven decisions. They oversee teams of BI developers, set technical direction, and ensure the integration, transformation, and visualization of data from multiple sources. Lead BI Developers collaborate with stakeholders to gather requirements, create data models, and develop dashboards and reports. Their expertise includes database management, data warehousing, and using BI tools like Power BI, Tableau, or SQL Server Reporting Services (SSRS).

How does a Lead BI Developer typically collaborate with stakeholders and other team members during a BI project?

A Lead BI Developer frequently interacts with business stakeholders to gather requirements, clarify objectives, and ensure that business intelligence solutions align with organizational goals. They work closely with data analysts, database administrators, and other developers to design, develop, and optimize BI dashboards and reports. Effective communication and collaboration are key, as the Lead BI Developer is often responsible for translating business needs into technical specifications and ensuring smooth project delivery. Regular meetings, agile workflows, and iterative feedback are common practices to keep everyone aligned throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a Lead BI Developer, and why are they important?

To thrive as a Lead BI Developer, you need expertise in data modeling, SQL, ETL processes, and BI concepts, usually supported by a degree in computer science or a related field. Proficiency with BI tools like Power BI, Tableau, or SSIS, as well as experience with databases and data warehousing solutions, is typically required. Strong analytical thinking, leadership, and effective communication skills help you manage teams and translate business needs into technical solutions. These skills are crucial for delivering actionable insights, ensuring data accuracy, and guiding successful BI project implementations.

What is the difference between Lead Bi Developer vs Data Engineer?

AspectLead Bi DeveloperData Engineer
Required CredentialsBachelor's in Computer Science, Data Analytics, or related field; often certifications in BI toolsBachelor's in Computer Science, Software Engineering, or related; certifications in cloud platforms or data pipelines
Work EnvironmentCollaborates with business teams, develops dashboards, reports, and BI solutionsBuilds data pipelines, manages data architecture, and ensures data flow efficiency
Employer & Industry UsageUsed in finance, healthcare, retail for analytics and reportingCommon in tech, finance, and large enterprises for data infrastructure

The Lead Bi Developer primarily focuses on designing and implementing business intelligence solutions, working closely with stakeholders to deliver insights. In contrast, Data Engineers build and maintain the data infrastructure that supports these BI tools. Both roles require technical expertise, but their core responsibilities differ: one centers on analytics and reporting, the other on data architecture and pipelines.

What are popular job titles related to Lead Bi Developer jobs in Missouri?

For Lead Bi Developer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Lead Bi Developer jobs in Missouri look for?

The top searched job categories for Lead Bi Developer jobs in Missouri are:

What are popular job titles related to Lead Bi Developer jobs in MO?

For Lead Bi Developer jobs in MO, the most frequently searched job titles are:

Infographic showing various Lead Bi Developer job openings in Missouri as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $120,908 per year, or $58.1 per hour.

IT Principal Delivery Lead

Jobtailor

California, MO • On-site

$120 - $160/hr

Other

Posted 4 days ago


Job description

Responsibilities
  • Release Cycle Quality Governance: Monitor the transformation's release readiness across multiple squads, proactively raising enterprise-level risks to avoid late-stage defects in critical integrations.
  • Ensure Quality Gates, Entry Criteria, and Exit Criteria are met as a mandatory part of the Definition of Done.
  • Support compliance with QA standards across the squad or delivery team.
  • Drive operational QA execution and technical engineering leadership within each release cycle for major programs.
  • Lead the hands-on expansion and maturity of core testing platforms, driving the enterprise adoption of Playwright, Jenkins, and SA utils across delivery teams.
  • Scaling QA Capacity & Functionality Through AI: Design and execute tactical plans to scale and extend overall QA capacity and testing functionality through the practical application of Artificial Intelligence (AI).
  • Implement AI-driven efficiencies to optimize test generation, accelerate release cycles, and scale test coverage without increasing manual overhead.
  • Leverage predictive capabilities and AI tooling to proactively identify hotspot areas in complex codebases and integration points.
  • Requirement Review & QA Transformation Leadership: Lead the cross-functional End-to-End (E2E) strategy for complex transformation programs, ensuring zero business disruptions during major go-lives.
  • Operationalize the CoE’s automated \"rules of the road\" across complex integrated ecosystems to modernize legacy testing practices.
  • Defect Management and Auditability: Ensure every defect includes a verified Root Cause Analysis (RCA). Maintain strict bi-directional traceability between test cases and defects to provide a complete audit trail.
  • Actively participate in bug triage calls and ensure defects are reviewed, prioritized, and tracked to closure.
  • Reporting and Data Hygiene: Maintain high data hygiene across QA reporting tools and trackers. Ensure test execution status, defect status, and release metrics are updated in real time to support decision-making.
  • QA Ceremony Ownership: Take full ownership of QA ceremonies and drive active participation from senior stakeholders to ensure quality goals align with business priorities.
  • Stakeholder Management: Act as the primary QA liaison to streamline the delivery of objective, data-driven test results to Business and Product leads, providing the visibility needed for core team release decisions.
Requirements
  • Minimum of 10 years of experience in Software Quality Engineering
  • At least 5 years demonstrating strong QA engineering leadership or managing Program QA Delivery
  • Proven track record of driving the operational implementation of QA processes across large-scale, complex release cycles and transformation programs
  • Expert-level ability to manage and influence business and product stakeholders
  • A deep understanding of test execution governance
  • Strong hands‑on experience in QA Automation and framework extension, specifically utilizing Playwright and CI/CD pipelines via Jenkins
  • Expert-level experience in defect lifecycle management, including the ability to conduct verified Root Cause Analysis (RCA) and leakage analysis
  • Expert-level experience with enterprise test management tools, specifically X‑Ray and Jira, including the enforcement of bi-directional traceability and data hygiene
  • Proven ability to lead purposeful, outcome-driven QA ceremonies, bug triage calls, and structured walkthroughs with cross-functional teams
  • Demonstrated experience implementing and utilizing AI-enabled test frameworks, predictive analytics, or self-healing automation tools to extend testing capacity.
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