BI Analyst with Qlik Sense

Bay Area, CA
Contracted
Experienced
Role: BI Analyst with Qlik Sense
Location: Bay Area, CA (Hybrid)

Experience: 10+ Years


Ex-Cisco candidates will be preferred
JD:
Skills: Business Intelligence (BI), Qlik Sense, SQL, Python, data visualization
Business Intelligence (BI) Analyst who can build, maintain, and optimize reporting infrastructure and front-end UI dashboards. The ideal candidate will have expertise in Qlik Sense, 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 Qlik Sense and Tableau .
  • 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:
  • 8+ years in BI analysis, data analytics, or a related field.
  • Proficiency in SQL, Python/R, Qlik Sense, and Tableau (optional).
  • Strong knowledge of data visualization, dashboard creation, and business reporting.
  • Ability to build and maintain reporting pipelines for automated insights.
  • Understanding of database structures, ETL, and data warehousing best practices.
  • 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.
  • Ability to identify business trends, detect anomalies, and recommend improvements.
  • Strong ability to collaborate with cross-functional teams and present data insights effectively

 
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