Tech Stack

Description

You will build, optimize, and support Streamlit dashboards and the underlying data systems to deliver reliable, performant analytics products. This involves improving pipelines, ensuring data freshness and accuracy, and partnering with stakeholders to define metrics.

Requirements

• Strong experience with SQL (complex joins, window functions, performance optimization, data modeling)
• Strong experience with Python for data work (e.g., pandas, data validation)
• Experience building dashboards using Streamlit, Looker, or Tableau
• Solid understanding of analytics engineering: dimensional modeling, metric definitions, reproducible transformations
• Knowledge of software engineering practices (Git, code reviews, testing, CI/CD)

Responsibilities

• Build and maintain Streamlit dashboards for business reporting and operational insights
• Optimize dashboard performance (query tuning, caching, efficient data loading)
• Design, develop, and maintain SQL tables, views, and models that feed dashboards
• Implement Python-based data workflows to transform, validate, and deliver data
• Monitor and improve data quality, freshness, and completeness