Barclays Data Analyst Jobs 2026

06/18/2026 Khasim

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Barclays Data Analyst Jobs 2026 | HR Data & Analytics Hiring | Freshers

Barclays is hiring Data Analysts for its Data & Analytics division. This opportunity is ideal for candidates who are passionate about data analysis, business intelligence, reporting, data governance, AI-driven analytics, and business transformation. The role supports HR transformation programs through data quality management, analytics, reporting, and data-driven decision-making.

Working with Barclays provides exposure to enterprise-scale data ecosystems, HR technology platforms, AI-enabled analytics, data governance frameworks, and strategic transformation initiatives. Candidates will collaborate with business, technology, and third-party teams while developing expertise in data management, reporting automation, and business analytics.

Company Name	Barclays
Role	Data Analyst
Reference Code	JR-0000110271
Business Area	HR – Data & Analytics
Qualification	Bachelor’s or Master’s Degree
Eligible Batch	2024, 2025 & 2026
Salary	₹8 LPA – ₹14 LPA (Estimated)
Job Type	Full-Time
Work Mode	Office Based
Category	Data Analytics & Business Intelligence
Contract Type	Permanent

Role Overview

As a Data Analyst at Barclays, you will support HR transformation initiatives by ensuring high-quality, governed, and actionable data is available for business decision-making. The role involves data analysis, data migration support, data governance, reporting automation, dashboard creation, and business insights generation.

You will work across multiple stakeholders to improve data quality, analyze large datasets, identify trends and opportunities, support AI-enabled analytics initiatives, and contribute to operational improvements. This role offers excellent exposure to enterprise analytics, data products, machine learning applications, and modern data management practices.

Key Responsibilities

Analyze and document business requirements and data definitions.
Develop and maintain data dictionaries and business glossaries.
Perform data quality analysis and root cause investigations.
Support data sourcing, lineage, governance, and control activities.
Design and build data pipelines for automated data processing.
Analyze large datasets to identify trends, correlations, and insights.
Create dashboards, reports, and visualizations for stakeholders.
Automate recurring reporting and analytical processes.
Support AI and machine learning initiatives using business data.
Collaborate with HR, technology, and transformation teams.
Translate analytical findings into actionable business recommendations.
Support data migration and transformation projects.

Required Skills & Eligibility

Strong analytical and problem-solving skills.
Experience in data analysis and business reporting.
Knowledge of data governance and data quality concepts.
Ability to document business requirements and data definitions.
Understanding of data lineage and data management principles.
Stakeholder management and communication skills.
Knowledge of reporting and visualization techniques.
Ability to work with large datasets.
Strong attention to detail and accuracy.
Understanding of transformation and change management initiatives.

Salary Insights

Barclays has not officially disclosed compensation details for this role. Based on similar Data Analyst opportunities in multinational banking and financial services organizations, candidates can expect an estimated salary package ranging between ₹8 LPA and ₹14 LPA depending on technical expertise, analytics skills, and relevant experience.

Why This Role Is Good for Candidates

This role combines data analytics, AI, business intelligence, governance, reporting, and business transformation into a single career opportunity. Candidates gain hands-on experience with enterprise data systems, stakeholder collaboration, reporting automation, and strategic decision support. These skills are highly valuable across analytics, consulting, banking, fintech, AI, and technology sectors.

🚀 Career Growth & Future Opportunities

The Data Analyst role at Barclays can serve as a gateway to some of the most in-demand and high-paying careers in the technology and analytics industry. Over the next 2–3 years, candidates should focus on strengthening their expertise in SQL, Python, Power BI, machine learning fundamentals, data engineering concepts, cloud analytics, and business intelligence. Professionals who consistently develop these capabilities often progress into roles such as Senior Data Analyst, Business Intelligence Analyst, Analytics Consultant, Data Scientist, AI Analyst, Data Engineer, Product Analyst, or Analytics Manager. With organizations increasingly relying on data-driven decision-making and AI-powered insights, professionals who combine technical skills with business understanding can significantly accelerate their career growth and earning potential.

📚 Recommended Skills & Learning Resources

To excel in this position, candidates should develop strong foundations in data analysis, reporting automation, statistical thinking, business problem-solving, and data visualization. SQL remains one of the most critical skills for working with enterprise datasets, while Python is widely used for automation, analytics, and AI applications. Understanding data science concepts, dashboard development, and business intelligence reporting can help candidates contribute more effectively to transformation programs. Learning these technologies not only improves job performance but also prepares candidates for future opportunities in analytics, AI, and data science.

SQL Course & Notes |
Python Course & Notes |
Data Science Complete Course

🎯 Interview Preparation

Barclays is likely to assess candidates on data analysis concepts, SQL fundamentals, business problem-solving, reporting, stakeholder communication, and analytical thinking. Candidates should prepare for questions involving data quality analysis, reporting automation, business scenarios, and Python-based problem-solving. To strengthen your preparation, review the Top 100 SQL Interview Questions, practice technical concepts using the Top 100 Python Interview Questions, and build a strong analytics foundation through the Data Analyst Roadmap for Beginners. These resources will help improve both technical and business interview performance.

🔥 Related Opportunities

How to Apply for Barclays Data Analyst

Click the Apply Now button below.
Visit the official Barclays Careers portal.
Search for Reference Code JR-0000110271.
Review the complete eligibility criteria.
Create or sign in to your candidate profile.
Upload your latest resume.
Complete the online application form.
Submit the application and monitor recruitment updates.

Frequently Asked Questions

Who can apply for the Barclays Data Analyst role?

Candidates with strong analytical skills, data management knowledge, reporting experience, and an interest in business intelligence and analytics can apply.

Is Python required for this role?

Python is listed as a desirable skill and can be used for automation, data validation, analytics, and AI-related initiatives.

What is the expected salary for this position?

Based on industry benchmarks, the estimated salary range is between ₹8 LPA and ₹14 LPA depending on technical skills and relevant experience.

How To Apply

Visit the official Barclays Careers website.
Search using Reference Code JR-0000110271.
Complete the application form.
Submit your updated resume.

Apply Now – Barclays

If you are looking to build a career in data analytics, business intelligence, AI, and enterprise reporting, this Barclays opportunity offers excellent learning and growth potential. Continue developing your SQL, Python, analytics, and communication skills while exploring additional interview preparation resources and related opportunities to strengthen your professional profile.