BI Developer: Dashboards & Data Modeling (Tableau/Sigma)

Model Info Solutions; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Model Info Solutions seeks a skilled BI Developer to design, develop, and deliver scalable analytics solutions using Power BI, Tableau, or Sigma Computing. Translate business requirements into dashboards and reports to drive data-driven decisions.

The role focuses on building interactive dashboards, modeling data, and integrating sources across cloud platforms, with collaboration across data engineers and architects to ensure data accuracy and performance.

Qualifications

• 4-5 years of experience in BI/analytics development.
• Strong hands-on experience with Tableau and/or Sigma Computing.
• Proficiency in SQL and data querying.
• Experience with cloud data platforms (Snowflake, Redshift, BigQuery, etc.).
• Solid understanding of data modeling concepts (star schema, dimensional modeling).
• Strong analytical and problem-solving skills.

Responsibilities

• Design and develop interactive dashboards and reports using Power BI, Tableau and/or Sigma
• Work with business stakeholders to gather and translate reporting requirements
• Build and optimize data models for reporting and analytics
• Ensure data accuracy, consistency, and performance across BI solutions
• Connect to and integrate multiple data sources (SQL, cloud data warehouses, APIs)
• Perform data analysis to identify trends, patterns, and insights
• Maintain and enhance existing dashboards and reporting solutions
• Collaborate with data engineers and architects on data pipelines and architecture

Skills

BI/Analytics

Data visualization

Analytical thinking

Tools

Power BI

Tableau

Sigma Computing

SQL

Job description

Model Info Solutions seeks a skilled BI Developer to design, develop, and deliver scalable analytics solutions using Power BI, Tableau, or Sigma Computing. Translate business requirements into dashboards and reports to drive data-driven decisions.

The role focuses on building interactive dashboards, modeling data, and integrating sources across cloud platforms, with collaboration across data engineers and architects to ensure data accuracy and performance.