Work with structured and semi-structured datasets to clean, transform, and analyze data.
Write SQL queries to extract, manipulate, and analyze data from multiple sources.
Assist in building and maintaining datasets, reports, and dashboards to support business and analytics use cases.
Perform exploratory data analysis to identify trends, patterns, anomalies, and actionable insights.
Support the team in developing data-driven reports and analysis for Product, Business, Operations, and other stakeholders.
Assist in data validation and quality checks to ensure accuracy and consistency of datasets and reports.
Work with large datasets and learn to optimize queries and analytical workflows for better efficiency.
Collaborate with Product, Engineering, Analytics, and Data Science teams to understand business requirements and translate them into data-driven solutions.
Help automate repetitive reporting and analysis workflows using SQL, Python, Excel, or other relevant tools.
Troubleshoot data discrepancies and assist in identifying the root cause of data issues.
Participate in analytics projects from data collection and preparation through analysis and presentation of insights.
Document analysis, dashboards, processes, and key findings to make insights easy to understand and reuse.
Learn and contribute to best practices in data analytics, visualization, and data-driven decision-making.
Why Join Freight Tiger
Build a data platform that processes millions of logistics events every day.
Work with modern technologies including Databricks, Spark, Trino, AWS, Delta Lake, and real-time streaming.
Solve complex engineering problems at scale.
Build products that directly power analytics, AI, and decision intelligence for India's largest logistics enterprises.
Learn from a high-performing engineering team with opportunities to grow into Senior Data Engineer and Engineering Leadership roles.
