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Barclays is Hiring Data Analyst in Pune

Global Payment Services

Barclays Logo
Full-Time / Permanent
Pune, India
Ref: JR-0000116579

Experience
Not Specified
Qualification
Degree Preferred
Salary (Est.)
₹8–15 LPA
Work Mode
Not Specified
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Last Updated: September 2026
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Job Overview

Barclays is hiring a Data Analyst in Pune within its Global Payment Services business area. The role focuses on enabling data-driven strategic and operational decision-making through data extraction, advanced analytics, data engineering, and visualization.

The position involves investigating data quality and lineage issues, designing data pipelines, applying advanced analytical techniques to large datasets, developing logical data models, and creating interactive dashboards and automated reports.

💡 Why this role?

This opportunity is perfect for analytical professionals looking to dive deep into Python, SQL, Snowflake, and Databricks. You will leverage cloud-based tools and DBT to influence core payment infrastructures at one of the world's leading global banks.

Key Responsibilities

  • Investigate data quality, lineage, controls, and authoritative data source issues, providing clear recommendations to improve data processes.
  • Design and build automated data pipelines for sophisticated data movement and processing across the payments domain.
  • Analyze large datasets to identify trends and correlations, leveraging basic Machine Learning/AI techniques where applicable.
  • Develop and validate logical data models, translating complex analytical findings into actionable business recommendations.
  • Create interactive dashboards, automate reporting workflows, and take ownership of risks and controls within your area.

How to Apply

1

Click Apply Button

Scroll down and click the primary orange "Apply Now" button below.

2

Visit Barclays Career Portal

You will be redirected to the official Barclays careers portal. Search for Job Reference JR-0000116579 if required.

3

Submit Application

Complete your profile, highlighting your Python, SQL, and Snowflake/Databricks experience, and submit your resume.

⚠️ Data Analytics roles at top financial firms fill up rapidly. Apply as soon as possible.

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