Business Intelligence Analyst

About This Role

As a Business Intelligence Analyst, you will build and maintain actionable and automated Tableau dashboards, alerts, data models, data queries, and other data solutions for internal and client-facing business leaders. This role involves setting the technical direction for enterprise data products and guiding the work of analysts and engineers while collaborating with senior leaders on strategic decisions.

Responsibilities

• Serve as the technical lead for enterprise dashboards, data models, and Databricks workflows, and set design patterns, quality standards, and review practices for the team.
• Remain hands-on, own complex dashboards and data models, and update, troubleshoot, and enhance them as needs change.
• Use Databricks and related tools to refine pipelines, automate workflows, and build notebooks that feed enterprise data products, and guide others in doing the same.
• Mentor and provide day-to-day technical directions to analysts and engineers, including work review, coaching, and helping prioritize delivery.
• Partner with leaders to document, prioritize, and deliver company-wide reporting needs, and translate executive asks into a sequenced technical plan.
• Collaborate with data scientists and engineers to turn disparate sources into actionable, production-grade insights.
• Drive adoption of AI-assisted development and modern analytics practices across the team’s delivery model.

Requirements

• 5+ years of experience with reporting or BI tools, including building dashboards in Power BI or Tableau.
• 5+ years of experience with data modeling and building workflows in Databricks or Alteryx.
• Experience with Databricks, including building notebooks that support production dashboards and data products.
• Experience serving as a technical lead on reporting, BI, or data-engineering delivery.
• Ability to work independently, lead through influence, and collaborate with cross-functional teams.
• Ability to ensure data accuracy and quality, and to raise those standards across a team.
• Ability to adapt to changing needs, manage competing priorities, and explain technical concepts to non-technical stakeholders.
• Knowledge of AI tooling and experience applying AI-assisted methods to analytics or data engineering work.
• Bachelor’s degree.

Nice to have:

• Experience defining Databricks or enterprise-analytics patterns, such as notebooks, jobs, environments, access, and reliability practices.
• Experience presenting to senior stakeholders and influencing without formal authority.
• Possession of excellent analytical and problem-solving skills.
• Master’s degree in a related field.

Benefits