Senior Data Analyst( W2 Only)

Key Responsibilities • Build and maintain Streamlit dashboards for business reporting and operational insights. • Optimize dashboard performance (query tuning, caching strategies, efficient data loading, and rendering). • Design, develop, and maintain SQL tables, views, and models that feed dashboards. • Implement and maintain Python-based data workflows to transform, validate, and deliver data for analytics use cases. • Monitor and improve data quality, freshness, and completeness (including automated checks and alerting). • Partner with stakeholders to define metrics, ensure consistent definitions, and translate requirements into data products. • Maintain documentation for dashboards, datasets, KPI definitions, and data lineage. • Troubleshoot data and dashboard issues, providing timely support and root-cause analysis. Required Qualifications • Strong experience with SQL (complex joins, window functions, performance optimization, and data modeling). • Strong experience with Python for data work (e.g., pandas, data validation patterns, and APIs as needed). • Experience building dashboards using tools such as Streamlit (ideal), Looker, Tableau, etc. • Solid understanding of analytics engineering fundamentals: dimensional modeling, metric definitions, and reproducible transformations. • Knowledge of basic software engineering practices (Git workflows, code reviews, testing, CI/CD) Preferred Qualifications • Professional experience building dashboards in Streamlit, including performance tuning and maintainability. • Familiarity with modern data stack concepts (ELT patterns, semantic layers, governance). • Experience implementing automated data quality tests and observability. • Experience working with large datasets and improving query and pipeline efficiency. What Success Looks Like • Dashboards are fast, stable, and trusted by stakeholders. • Underlying tables and transformations are efficient, well-documented, and easy to maintain. • Data quality issues are detected early, with clear ownership and resolution paths. • Metrics are consistent across dashboards and align with agreed business definitions.