PySpark Data Analyst — Hybrid, Pune (Insight-Driven)

Citi; New York (NY); Hybrid; USD 16,000 - 28,000; Full time

Job summary

Citi is hiring a PySpark Data Analyst to join the Business Analytics team in a hybrid setting. The role centers on gathering data, identifying trends, and delivering actionable insights to influence planning and strategy.

The ideal candidate will combine strong analytical thinking with experience in big data tools, machine learning, and data visualization to drive informed business decisions while maintaining risk and policy compliance.

Qualifications

• Bachelor’s or higher with 4–8 years in data analytics.
• Experience with hypothesis testing, segmentation, time series forecasting, and A/B analysis.
• Predictive modeling using Machine Learning and NLP/text mining.

Responsibilities

• Collects data from cross-functional stakeholders for performance analysis.
• Identifies patterns and insights to support business decisions.
• Proposes actions for future development and policy enhancements.
• Conducts exploratory and confirmatory analyses as needed.
• Improves processes by evaluating new data sources and tools.
• Collaborates with partners to implement and track decision strategies.
• Assesses risk and ensures compliance with applicable laws and Citi policies.

Skills

Analytical thinking

Data storytelling

Problem solving

Big data manipulation

Communication

Education

Bachelor’s degree + 5–8 yrs in data analytics

Master’s degree + 4–8 yrs in data analytics

PhD (optional)

Tools

Python

SQL

Hive

PySpark

Tableau

Excel

PowerPoint

Job description

Citi is hiring a PySpark Data Analyst to join the Business Analytics team in a hybrid setting. The role centers on gathering data, identifying trends, and delivering actionable insights to influence planning and strategy.

The ideal candidate will combine strong analytical thinking with experience in big data tools, machine learning, and data visualization to drive informed business decisions while maintaining risk and policy compliance.