Website Barclays

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Company: Barclays
Job Title: Data Analyst
Location: Bengaluru
Job Type: Full-Time
Industry: Banking & Financial Services
Work Mode: On-site / Hybrid (as per business requirement)

Join Barclays as a Data Analyst in Bengaluru

Barclays is hiring an experienced Data Analyst in Bengaluru to support enterprise analytics and warehouse transformation initiatives. This role plays a critical part in modernising the analytics data warehouse landscape and delivering high-impact insights that power strategic and operational decisions across banking functions.

If you have strong SQL expertise, data warehousing experience, and domain knowledge in banking (particularly collections and recovery lending), this opportunity offers exposure to large-scale financial data ecosystems and advanced analytics frameworks.

Role Overview

As a Data Analyst at Barclays, you will spearhead the evolution of the enterprise data warehouse environment supporting analytics use cases. You will work with cross-functional teams to ensure robust data engineering, high data quality standards, and actionable business insights.

The role requires technical depth in SQL scripting, data profiling, warehousing concepts, and analytics, along with the ability to collaborate with Data Engineers, Architects, and business stakeholders.

Purpose of the Role

The primary objective of this position is to enable data-driven strategic and operational decision-making by:

  • Extracting actionable insights from large datasets

  • Performing advanced analytics and statistical evaluations

  • Identifying trends, correlations, and business risks

  • Presenting findings via dashboards, reports, and data visualisations

You will support operational efficiency, risk management, and process optimisation initiatives across banking operations.

Key Responsibilities

1️⃣ Data Analysis & Insights

  • Analyse large datasets using complex SQL scripting.

  • Conduct data profiling and investigate data quality, lineage, and control issues.

  • Identify authoritative data sources and document methodologies.

  • Translate analytical findings into actionable business recommendations.

2️⃣ Data Warehousing & Engineering Support

  • Create detailed source-to-target mappings.

  • Support Data Engineers in developing and optimising data pipelines.

  • Contribute to warehousing projects using Teradata, Oracle, Big Data, and Cloud platforms.

  • Design and validate logical data models.

3️⃣ Advanced Analytics & Automation

  • Apply advanced analytical techniques to uncover trends and correlations.

  • Leverage machine learning and AI concepts for deeper insights.

  • Build automated data pipelines for data movement and processing.

  • Automate reporting solutions for both recurring and ad-hoc stakeholder needs.

4️⃣ Visualization & Reporting

  • Design and develop interactive dashboards and visual reports.

  • Present insights clearly to technical and non-technical stakeholders.

  • Ensure reporting accuracy and business alignment.

Required Skills & Experience

To be successful in this role, candidates should demonstrate:

  • Strong banking domain knowledge, preferably in collections and recovery lending.

  • Expertise in complex SQL scripting.

  • Strong data profiling and data quality assessment capabilities.

  • Experience in data warehousing projects.

  • Hands-on experience with Teradata, Oracle, Big Data ecosystems, and Cloud concepts.

  • Working knowledge of data modelling tools.

Highly Valued Additional Skills

  • Knowledge of the AWS cloud platform.

  • Experience with Python or PySpark.

  • Familiarity with Snowflake and Databricks.

  • Experience working in Agile environments using JIRA.

  • Exposure to modern analytics platforms and enterprise BI ecosystems.

Leadership & Analyst Expectations

Depending on the scope of the role, you may:

  • Lead and supervise team members, allocating work and mentoring colleagues.

  • Guide teams to deliver high-quality analytical outputs.

  • Influence stakeholders through strategic thinking and business acumen.

  • Embed risk controls and governance processes within analytics workflows.

  • Escalate policy breaches appropriately and support compliance initiatives.

Barclays expects professionals to uphold strong governance standards and align with enterprise risk and control frameworks while delivering measurable business outcomes.

Risk & Controls Responsibility

This role requires strong accountability in managing risk, strengthening internal controls, and ensuring regulatory compliance. You will contribute to policy embedding, change transformation, and digital innovation initiatives within the banking ecosystem.

Why Join Barclays?

Working at Barclays provides:

  • Exposure to enterprise-scale banking analytics transformation.

  • Opportunity to work with advanced data engineering and cloud technologies.

  • Collaboration with global cross-functional teams.

  • A culture driven by core values: Respect, Integrity, Service, Excellence, and Stewardship.

  • A performance-driven mindset focused on Empower, Challenge, and Drive.

Barclays offers an environment where analytical expertise directly influences financial strategy and operational excellence.

Location

📍 Bengaluru, Karnataka, India

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