Data Analyst, SQL, Python, Streamlit
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Job Description
Data Analyst developing and optimizing Streamlit dashboards for Outrider's autonomous truck solutions. Responsible for data systems, partnerships with stakeholders, and ensuring data accuracy.
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.
Requirements:
- 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)
Benefits:
- 4-month contract with possibilities to extend
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