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.

Requirements

Must-haves

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!
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

Nice-to-haves

Exposure to data governance, performance optimization, and analytics best practices preferred
Certifications Preferred: Microsoft Certified: Power BI Data Analyst (PL 300)
Preferred Technical Skills: Python for analytics and automation, Git version control, dbt or similar transformation frameworks

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development