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Flywheel

Business Intelligence Team Leader I

In this position, you will lead a team of Business Intelligence Analysts while actively contributing to the design, development, and delivery of high impact analytics solutions. You will collaborate ...

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Business Intelligence Team Lead information

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$83

How much do business intelligence team lead jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for business intelligence team lead in the United States is $61.14, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $67.31 per hour, depending on experience, location, and employer.

What does a business intelligence team lead do?

A Business Intelligence (BI) Team Lead is responsible for overseeing a team of analysts and developers who gather, analyze, and interpret data to support business decision-making. They coordinate projects involving data warehousing, reporting, and dashboard development, and ensure that the team delivers actionable insights to stakeholders. Additionally, the BI Team Lead mentors team members, manages project timelines, and collaborates with other departments to align BI initiatives with organizational goals.

How does a business intelligence team lead typically collaborate with other departments to drive data-driven decision-making?

A Business Intelligence Team Lead regularly partners with departments such as marketing, sales, finance, and operations to understand their data needs and translate them into actionable insights. They facilitate cross-functional meetings, gather requirements, and ensure the BI team delivers reports and dashboards tailored to each department’s goals. Effective communication and the ability to explain complex data concepts to non-technical stakeholders are critical for fostering a data-driven culture across the organization.

What are the key skills and qualifications needed to thrive as a business intelligence team lead, and why are they important?

To thrive as a Business Intelligence Team Lead, you need expertise in data analysis, business strategy, and experience with BI tools, often supported by a degree in business, computer science, or a related field. Familiarity with platforms like Power BI, Tableau, SQL databases, and data warehousing systems, as well as relevant certifications, is typically required. Strong leadership, communication, and problem-solving skills help drive team performance and ensure stakeholder needs are met. These skills are crucial for delivering actionable insights, aligning analytics with business objectives, and leading a high-performing BI team.

What is the difference between Business Intelligence Team Lead vs Data Analyst?

AspectBusiness Intelligence Team LeadData Analyst
Required credentialsBachelor's degree in IT, Business, or related field; often certifications in BI toolsBachelor's degree in Statistics, Math, or related field; certifications in data analysis tools
Work environmentLeads BI projects, manages teams, collaborates with stakeholdersAnalyzes data, creates reports, supports decision-making
Employer usageUsed in organizations with dedicated BI teams, data-driven companiesCommon across industries for data interpretation and reporting

The Business Intelligence Team Lead focuses on managing BI projects and teams, overseeing data strategies, and collaborating with stakeholders. In contrast, Data Analysts primarily analyze data, generate reports, and support decision-making. While both roles require strong analytical skills and familiarity with BI tools, the Team Lead has additional responsibilities in leadership and project management.

Is business intelligence a high paying job?

Business Intelligence Team Leads typically earn higher salaries compared to many other data-related roles due to their leadership responsibilities and technical expertise in tools like SQL, Tableau, and Power BI. Salaries vary based on experience, location, and industry, but they are generally considered well-compensated positions within the tech and data sectors.
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What are popular job titles related to Business Intelligence Team Lead jobs?

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Business Intelligence Team Lead jobs near you
Infographic showing various Business Intelligence Team Lead job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,162 per year, or $61.1 per hour.

Business Intelligence Team Leader I

Remote

Flywheel
See more jobs at Flywheelexternal

Full-time

Re-posted 6 hours ago

Job description

For ambitious, culturally diverse, curious minds seeking booming careers, Job Duck unlocks and nurtures your potential. We connect you with rewarding, remote job opportunities with US-based employers who recognize and appreciate your skills, allowing you to not just survive but thrive.

As a lifestyle company, we ensure that everybody working here has a fantastic time, which is why we've earned the Great Place to Work Certification every year since 2022!

Job Description:

The Business Intelligence Leader plays a critical role in transforming data into meaningful business decisions across multiple functional areas. In this position, you will lead a team of Business Intelligence Analysts while actively contributing to the design, development, and delivery of high impact analytics solutions. You will collaborate with leaders across the organization to translate business needs into actionable insights, ensuring stakeholders have access to reliable, well documented, and decision ready data products. Success in this role requires a strategic thinker who enjoys mentoring others, driving continuous improvement, and balancing technical excellence with strong business partnership skills. This is an excellent opportunity for a collaborative and results driven professional who thrives in a fast paced, data focused environment and enjoys helping teams maximize their impact through analytics.

Responsibilities include, but are not limited to:

  • Collaborate with cross functional teams to improve analytics maturity and business decision making
  • Apply competency frameworks and skills standards across Business Intelligence roles
  • Partner with HR and Workday stakeholders to maintain current job profile competencies and analytics role standards
  • Escalate risks, roadblocks, and resource concerns while driving resolution and accountability
  • Present insights, recommendations, and tradeoffs to stakeholders and executive audiences
  • Coach team members on analytical thinking, problem framing, stakeholder communication, and data storytelling
  • Establish and enforce quality standards, documentation requirements, peer reviews, and release readiness criteria
  • Manage intake processes, prioritization frameworks, service level expectations, and stakeholder requests
  • Own team backlog management, capacity planning, and sprint or Kanban processes to ensure efficient delivery
  • Build and review Power BI semantic models, measures, reports, dashboards, and visualizations
  • Lead and manage a team of Business Intelligence Analysts to deliver high quality analytics solutions aligned with business priorities
  • Assign work based on business impact, team strengths, and organizational priorities
  • Partner with business leaders to translate complex business questions into actionable analytical solutions
  • Conduct design reviews and provide ongoing feedback to support professional development
  • Develop and oversee Power Query transformations and data modeling best practices
  • Manage and optimize Microsoft Fabric Lakehouse environments, Dataflows Gen2, and data pipelines
  • Support data governance initiatives and ensure consistency, quality, and reliability across reporting assets
  • Oversee Google BigQuery datasets with a focus on performance, scalability, and cost efficiency
  • Establish and maintain visualization standards, reporting frameworks, and analytics best practices
  • Maintain reusable datasets, report catalogs, user documentation, and self service analytics resources

Requirements:

Minimum 2 years of Business Intelligence or Analytics experience delivering dashboards, reporting solutions, and stakeholder-facing insights

Minimum 1 year of experience leading analysts or serving as a technical lead or mentor

Proven production experience with Power BI, Microsoft Fabric, and Google BigQuery

Exposure to data governance, performance optimization, and analytics best practices preferred

Certifications Preferred: Microsoft Certified: Power BI Data Analyst (PL 300)

Microsoft Certified: Fabric Analytics Engineer (DP 600)

Google Professional Data Engineer

Certified ScrumMaster (CSM) or PMI ACP

Required Software and Tools: Microsoft 365 Suite including Word, Excel, PowerPoint, Teams, Outlook, and Planner. Workday. Power BI. Microsoft Fabric. Google BigQuery. Microsoft Copilot. Keeper Security. Virtual Machine environment when applicable

Technical Requirements: Advanced Power BI skills including DAX, Power Query, and data modeling

Microsoft Fabric experience including Dataflows Gen2, Lakehouse, and data pipelines

Advanced SQL and Google BigQuery optimization experience

Ability to develop data visualizations and analytics products following presentation and storytelling best practices

Understanding of analytics governance, quality assurance, and documentation standards

Preferred Technical Skills: Python for analytics and automation, Git version control, dbt or similar transformation frameworks

Work Shift:

8:30 AM - 5:30 PM [EST][EDT] (United States of America)

Languages:

English, Spanish

Ready to dive in? Apply now and make sure to follow all the instructions!

Our application process involves multiple stages, and submitting your application is just the first step. Every candidate must successfully pass each stage to move forward in the process.

Please keep an eye on your email and WhatsApp for the next steps. A recruiter will be assigned to guide you through the application process. Be sure to check your spam folder as well.

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