Barclays Hiring Data Analyst in Pune (India) – Apply for Permanent Role | 2026

Looking to build a long-term career in Data & Analytics with a global banking leader? Barclays is hiring a Data Analyst for its Pune location as part of its Customer Digital and Data division. This is a permanent, full-time opportunity for professionals with strong data engineering, analytics, and big data skills who want to work on enterprise-scale platforms that impact millions of customers worldwide.

If you enjoy working with complex datasets, designing data pipelines, and translating analytics into business decisions, this role offers both technical depth and career growth in a globally respected organisation.

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Why Join Barclays?

Barclays is one of the world’s leading financial institutions, known for its strong focus on digital transformation, data-driven decision-making, and inclusive work culture. The Data & Analytics function at Barclays acts as a strategic backbone, enabling smarter products, risk control, and customer experiences across global markets.

At Barclays, you get:

• Exposure to large-scale enterprise data platforms
• A culture that values innovation, ownership, and integrity
• Long-term career stability with continuous learning opportunities

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Job Overview – Barclays Data Analyst (Pune)

• Role: Data Analyst
• Business Area: Customer Digital and Data
• Area of Expertise: Data & Analytics
• Location: Pune, India
• Employment Type: Permanent, Full-Time
• Reference Code: JR-0000082273
• Date Posted: 30 January 2026

This role is based out of Pune and involves close collaboration with cross-functional teams across technology, analytics, and business units.

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Key Responsibilities

As a Data Analyst at Barclays, you will:

• Investigate and resolve data quality, lineage, and control issues
• Design and build automated data pipelines
• Analyse large datasets to identify trends, patterns, and insights
• Translate analytics findings into actionable business recommendations
• Design interactive dashboards and visual reports
• Support governance, risk mitigation, and data controls
• Work closely with stakeholders to align analytics with business goals

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Required Skills & Experience

Core Ab Initio Skills

• GDE (Graphs, XFR, Plans, PSETs, DQE)
• EME (Versioning, Branching, Tagging)
• Conduct-IT / Control Center
• Continuous Flows, PDL, metadata-driven design

Big Data & Distributed Systems

• Hadoop ecosystem: HDFS, Hive, Yarn, MapReduce
• Understanding of distributed computing concepts

Databases & Programming

• Strong SQL (HiveQL, Teradata, Oracle)
• Unix/Linux shell scripting
• Python (preferred)

Tools & CI/CD

• Autosys / Tivoli / Control-M
• Git, Bitbucket, Jenkins (CI/CD exposure)

Good-to-Have Skills

• Spark (PySpark / Scala)
• Kafka, HBase
• Strong analytical, debugging, and communication skills

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Career Growth & Leadership Exposure

This role operates at a level where you may:

• Influence decision-making and policy development
• Lead complex data initiatives or guide team members
• Strengthen risk controls and governance frameworks
• Work across business functions to deliver enterprise-wide impact

Barclays values professionals who demonstrate ownership, strategic thinking, and collaboration.

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Barclays Culture & Values

All employees are expected to align with:

• Barclays Values: Respect, Integrity, Service, Excellence, Stewardship
• Barclays Mindset: Empower, Challenge, Drive

The organisation promotes inclusive leadership, flexible working where possible, and continuous professional development.

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How to Apply for Barclays Data Analyst Job (Pune)

Apply directly through the official Barclays careers portal:

👉 Apply Here:

Tip: Tailor your resume to highlight Ab Initio, SQL, Hadoop, and data pipeline experience for better shortlisting.

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Disclaimer

This job post is shared for informational purposes only. All hiring decisions are made solely by Barclays. Candidates are advised to verify role details, eligibility, and deadlines on the official Barclays careers website. This website is not affiliated with or endorsed by Barclays.