BI Analyst

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Role Overview

Key Responsibilities

• Design, develop, and maintain intuitive dashboards and visual analytics solutions that address business questions and KPIs.
• Partner with stakeholders to gather requirements, define metrics, and determine the most effective visual storytelling approach.
• Perform data wrangling and transformation to support reliable visuals; ensure data quality and consistency.
• Create reusable visualization templates, components, and dashboards that scale across teams.
• Optimize dashboards for performance.
• Produce clear documentation, data dictionaries, and training materials, mentor business users on self-service analytics.
• Conduct user testing and gather feedback; iterate visuals to improve clarity and impact.
• Collaborate with data engineers and data scientists on data models, data pipelines, and governance.
• Stay current with visualization best practices, design principles, and new BI tool capabilities.
• Proactively monitor usage, gather adoption metrics, and drive continuous improvement.
  

Tools & Tech Stack

• BI/Visualization platforms: Tableau, Power BI, Qlik (experience with one or more required)
• Data querying: SQL (advanced proficiency required)
• Data manipulation: Python or R
• Data sources: Experience with cloud data warehouses (e.g., Redshift, Azure SQL, Oracle)
• Visualization/UX concepts: Colour theory, Typography, Layout, Accessibility, KPI design
• Version control, documentation, and storytelling best practices
  

Minimum Qualifications

• Bachelor’s degree in computer science, engineering or equivalent is required.
• 3+ Years of hands-on experience in data visualization, business intelligence, or analytics.
• 3+ Years of advanced SQL skills
• Proficiency with at least one major BI tool (Tableau, Power BI, Looker, or Qlik).
• 3+ Years’ experience with Data Modeling
• 3+ Years’ experience in custom ETL design, implementation and maintenance.
• 2+ Years of Python development experience
• Experience working with cloud platform (i.e. AWS, Azure, or similar)
• Proven ability to translate complex data into clear, compelling visuals and business stories.
• Excellent communication and presentation skills; able to explain technical concepts to non-technical audiences.
• Attention to detail and strong problem-solving abilities.
• Knowledge of data governance, data quality, and data lineage concepts.
• Global experience a plus
• Proven ability to work collaboratively with colleagues across functional areas to deliver results
• Certifications (e.g., Tableau Desktop Specialist, Power BI Certification) will be preferred
  

Required Skills

Preferred Skills: