Business Intelligence Team Leader I

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Job Description:

Responsibilities include, but are not limited to:

• Develop and oversee Power Query transformations and data modeling best practices

• Conduct design reviews and provide ongoing feedback to support professional development

• Partner with business leaders to translate complex business questions into actionable analytical solutions

• Assign work based on business impact, team strengths, and organizational priorities

• Lead and manage a team of Business Intelligence Analysts to deliver high quality analytics solutions aligned with business priorities

• Build and review Power BI semantic models, measures, reports, dashboards, and visualizations

• Establish and enforce quality standards, documentation requirements, peer reviews, and release readiness criteria

• Own team backlog management, capacity planning, and sprint or Kanban processes to ensure efficient delivery

• Coach team members on analytical thinking, problem framing, stakeholder communication, and data storytelling  

• Manage intake processes, prioritization frameworks, service level expectations, and stakeholder requests

• Present insights, recommendations, and tradeoffs to stakeholders and executive audiences

• Escalate risks, roadblocks, and resource concerns while driving resolution and accountability

• Partner with HR and Workday stakeholders to maintain current job profile competencies and analytics role standards

• Apply competency frameworks and skills standards across Business Intelligence roles

• Collaborate with cross functional teams to improve analytics maturity and business decision making

• Maintain reusable datasets, report catalogs, user documentation, and self service analytics resources

• Establish and maintain visualization standards, reporting frameworks, and analytics best practices

• Oversee Google BigQuery datasets with a focus on performance, scalability, and cost efficiency

• Support data governance initiatives and ensure consistency, quality, and reliability across reporting assets

• Manage and optimize Microsoft Fabric Lakehouse environments, Dataflows Gen2, and data pipelines

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.