AI & Data Analyst Intern (+PPO)

Quantbot

Gurugram District

On-site

INR 400,000 - 700,000

Full time

14 days+
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Job summary

Quantbot in Gurugram, India seeks a data analytics professional to build and optimize SQL queries for financial reporting, and to develop Python-based data pipelines and automation solutions. The role focuses on automating finance reports and delivering stakeholder data efficiently.

The candidate should transform Excel-heavy workflows into scalable dashboards and Jupyter notebooks, analyze large datasets for trends and insights, and contribute to data-driven decision making.

Qualifications

  • Proven ability to write advanced SQL with CTEs, window functions and aggregations.
  • Solid Python programming skills for data pipelines and automation tasks.
  • Interests in data analytics, automation and finance concepts.

Responsibilities

  • Build and optimize SQL queries for financial and operational reporting.
  • Develop Python-based data pipelines and automation solutions.
  • Automate recurring finance reports and stakeholder data delivery.
  • Transform Excel-heavy workflows into scalable dashboards and notebooks.
  • Analyze large datasets to identify trends, anomalies and insights.

Skills

Advanced SQL
Python programming
Data analytics
Automation
Finance domain awareness

Tools

AWS

Job description

Batch: 2025/2026/2027.

Responsibilities
  • Build and optimize SQL queries for financial and operational reporting.
  • Develop Python-based data pipelines and automation solutions.
  • Automate recurring finance reports and stakeholder data delivery.
  • Transform Excel-heavy workflows into scalable dashboards and Jupyter notebooks.
  • Analyze large datasets to identify trends, anomalies, and business insights.
Requirements
  • Advanced SQL, including CTEs, Window Functions, and Aggregations.
  • Strong Python programming skills.
  • Interest in Data Analytics, Automation, and Finance.
  • Basic understanding of AWS or cloud infrastructure is a bonus.
Eligibility
  • Strong candidates with practical experience in Python, SQL, data analytics, and automation through projects, internships, research, coursework, or other relevant work.
  • Demonstrated skills and problem-solving ability are valued more than specific degree requirements.
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