BI Engineer Tableau

TechWish

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-10 years of experience in BI/Analytics engineering
  • 4+ years developing dashboards in Tableau or similar BI tools
  • 3+ years with SQL and data warehouse concepts
  • 2+ years working with business stakeholders to gather requirements
  • Expert-level proficiency in Tableau or equivalent BI tool
  • Advanced SQL skills including complex queries and performance optimization
  • Experience with dbt for data transformation and testing

Responsibilities

  • Design and develop dashboards and reports using Tableau, ThoughtSpot, and Plotly
  • Translate business requirements into technical specifications and data models
  • Collaborate with analytics engineers for data modeling
  • Implement data quality tests and maintain dashboard accuracy
  • Centralize and standardize dashboards into a single hub
  • Create documentation for dashboard lineage and refresh schedules
  • Manage access control and resolve dashboard permission issues

Benefits

  • Opportunity to work with cutting-edge BI tools like Tableau and ThoughtSpot
  • Focus on centralizing analytics for enterprise-wide consistency
  • Involvement in user training for self-service analytics
  • Collaborative environment with opportunities for mentoring
  • Engagement in data visualization best practices and design reviews
Full Job Description
Role Overview
BI Engineers at Fractal design and maintain the dashboards and reports that enable enterprise stakeholders to make confident, data-driven decisions. Working closely with business teams, you will translate requirements into intuitive visualizations and deliver production-quality BI solutions using Tableau, ThoughtSpot, and Plotly. You will also play a key role in centralizing and standardizing the analytics estate, ensuring architectural consistency, data quality, and self-service accessibility across the platform.

Key Responsibilities
• Design and develop dashboards and reports in Tableau, ThoughtSpot, and Plotly
• Translate business requirements into technical specifications and data models
• Work with analytics engineers on data modeling and dimension table design
• Implement dbt data quality tests and ensure data used in dashboards is accurate
• Centralize and standardize ~80 dashboards into a single hub with consistent architecture
• Create comprehensive documentation for all dashboards including lineage and refresh schedules
• Manage access control and resolve dashboard permission issues promptly
• Provide ad-hoc analysis and custom dashboard development for stakeholder requests
• Optimize dashboard performance and query efficiency
• Stay current with BI tool features and recommend improvements
• Participate in design reviews and provide feedback on data visualization best practices
• Train stakeholders on self-service analytics capabilities

Required Skills
LatAm Position (G7): 6-10 years of BI/Analytics engineering experience
• 4+ years developing dashboards in Tableau or similar BI tools
• 3+ years with SQL and data warehouse concepts
• 2+ years working with business stakeholders and requirements gathering
• Expert-level proficiency in Tableau (or equivalent BI tool)
• Advanced SQL: complex queries, window functions, performance optimization
• Experience with dbt (data transformation and testing)
• Knowledge of Snowflake and data warehouse architectures
• Familiarity with Plotly and ThoughtSpot (or similar analytics platforms)
• Understanding of data governance and security best practices

Preferred Skills
• Strong communication skills with ability to explain technical concepts to non-technical stakeholders
• Design thinking mindset with a focus on user experience
• Attention to detail and commitment to quality assurance
• Ability to manage multiple stakeholder requests and prioritize effectively
• Collaborative team player with willingness to mentor junior team members
• Basic Python or JavaScript for custom visualizations
• Understanding of dimensional modeling and star schema concepts
• Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, or related field
• Masters degree or relevant certifications preferred

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