Business Intelligence (BI) Analyst Job at Kaav Inc., Tracy, CA

  • Kaav Inc.
  • Tracy, CA

Job Description

Job Description - Business Intelligence (BI) Analyst


Location: Mountain House, CA (Hybrid)

Job Summary


We are seeking a Business Intelligence (BI) Analyst who can build, maintain, and optimize reporting infrastructure and front-end UI dashboards. The ideal candidate will have expertise in QlikSense, Tableau (optional), SQL, and Python/R, and should be comfortable handling large datasets while ensuring data accuracy, accessibility, and visualization effectiveness.


Key Responsibilities


  • Develop, maintain, and optimize BI dashboards and reports in QlikSense and Tableau (optional).
  • Design and manage the reporting infrastructure, ensuring high performance and usability.
  • Build and maintain codebases for reporting automation and UI development.
  • Work closely with business and technical teams to transform complex data into actionable insights.
  • Monitor data pipelines, ETL processes, and data integrity to ensure accuracy and reliability.
  • Support KPI tracking and business metrics analysis to enhance decision-making.
  • Develop front-end UI components for data visualization dashboards.
Required Skills & Qualifications
  • Experience: 8-10+ years in BI analysis, data analytics, or a related field.
  • Technical Skills: Proficiency in SQL, Python/R, QlikSense, and Tableau (optional).
  • BI & Reporting Expertise: Strong knowledge of data visualization, dashboard creation, and business reporting.
  • Codebase & Automation: Ability to build and maintain reporting pipelines for automated insights.
  • Data Modeling: Understanding of database structures, ETL, and data warehousing best practices.
  • Problem-Solving: Ability to identify business trends, detect anomalies, and recommend improvements.
  • Excellent Communication: Strong ability to collaborate with cross-functional teams and present data insights effectively.
Preferred Qualifications
  • Experience in performance tuning of BI tools and data visualization.
  • Familiarity with data governance and security best practices.
  • Background in front-end UI development for interactive dashboards.

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