Data Analytics Intern

Freight Tiger; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Data platform impact

Modern tech stack

Growth opportunities

AI-powered analytics

Job summary

Freight Tiger in Bengaluru seeks a data-focused professional to clean, transform, and analyze large datasets. You will write SQL across multiple sources, help build datasets and dashboards, and perform exploratory data analysis to uncover trends and insights.

You will collaborate with Product, Engineering, Analytics, and Data Science to deliver data-driven reports and automate repetitive analyses, ensuring data quality and actionable outcomes.

Qualifications

• Clean, transform, and analyze structured and semi-structured data.
• Write SQL queries to extract and manipulate data from multiple sources.
• Assist in building datasets, reports, and dashboards for analytics use cases.
• Perform exploratory data analysis to identify trends, anomalies and insights.
• Support data-driven reports for Product, Business, Operations, and stakeholders.
• Assist in data validation and quality checks to ensure dataset accuracy.
• Work with large datasets and optimize queries and workflows.
• Collaborate with Product, Engineering, Analytics, and Data Science teams to translate requirements into data solutions.
• Automate reporting and analyses using SQL, Python, Excel, or other tools.
• Troubleshoot data discrepancies and identify root causes.
• Contribute to analytics projects from data prep to insights presentation.
• Document analyses, dashboards, and key findings for reuse.

Responsibilities

• Clean and transform data for analytics use cases.
• Write and optimize SQL across data sources.
• Build and maintain dashboards and reports.
• Perform EDA to surface insights and trends.
• Collaborate across teams to meet data requirements.
• Validate data and ensure quality of datasets.

Skills

SQL

Python

Data Analysis

ETL

Dashboards

Excel

Tools

Databricks

Spark

Trino

AWS

Delta Lake

Real-time streaming

Job description

What You'll Do

• 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-timestreaming.
• Solve complex engineering problems at scale.
• Build products that directly power analytics, AI, and decision intelligence for India's largest logisticsenterprises.
• Learn from a high-performing engineering team with opportunities to grow into Senior Data Engineer andEngineering Leadership roles.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.