Data Analyst Ft

## About the role Key Responsibilities include: - Design, build, and maintain dashboards and reports using Superset and Grafana, providing real-time visibility into key business and operational metrics across the logistics network. - Write complex SQL queries and Python scripts to extract, transform, and analyze large datasets from MongoDB, postgres and other data sources, uncovering trends and opportunities. - Partner with product, operations, and engineering teams to define KPIs, track performance, and deliver actionable insights that influence strategic decisions. - Conduct deep-dive analyses on supply chain efficiency, freight operations, customer behavior, and platform adoption to identify areas of improvement and growth. - Develop and maintain automated data pipelines and ETL processes to ensure reliable, clean, and timely data availability for reporting and analysis. - Translate complex data findings into clear, compelling narratives and presentations for both technical and non-technical stakeholders. - Proactively identify data quality issues, implement validation checks, and collaborate with engineering to improve data infrastructure and governance. ## Requirements - Strong proficiency in SQL for querying and manipulating large datasets across relational and non-relational databases. - Hands-on experience with Python for data analysis, scripting, and automation (pandas, NumPy, etc.). - Working knowledge of MongoDB including querying, aggregation pipelines, and data extraction. - Experience building dashboards and visualizations using Superset, Grafana, or similar BI tools. - Excellent analytical and problem-solving skills with a keen eye for data patterns, anomalies, and trends. - Strong communication and stakeholder management skills, ability to present data insights to both technical and business audiences. - Ability to work independently in a fast-paced environment, managing multiple priorities and delivering results with minimal supervision.