🏢 Barclays
Data Analyst
💼 Fulltime
📍 Pune, India
⚠️ 5 days left
🔗 Explore More
🛠 Skills Required
SQL
Excel
Python
Data Extraction
Data handling
🎤 Interview Experience
Barclays' interview process typically starts with an online aptitude test that evaluates quantitative and logical reasoning. Successful candidates move to a technical interview where they are tested on SQL queries, data manipulation in Python/R, and may be given a case study to solve. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation on data fundamentals and clear articulation of analytical thinking are key.
🏢 Work Culture
Barclays promotes a collaborative and inclusive work culture where employees are encouraged to innovate and take ownership of their projects. The bank offers structured learning programs, mentorship, and clear career progression, while maintaining a healthy work‑life balance through flexible working arrangements.
🎯
Don't miss this opportunity!
Apply before 19 Oct 2026 — only 5 days left
Creator Pick · Promoted by Creator
📚 Free Study Materials (3)
Barclays Recruitment Process Insights
Provides detailed experiences of candidates who have gone through Barclays' interview stages, helping you prepare for each round.
Open Resource ↗
Data Analyst Interview Preparation Guide
Focused preparation material for data analyst roles, including common questions on SQL, Python, statistics and case studies.
Open Resource ↗
Algorithm Practice Problems
A collection of coding challenges to sharpen problem‑solving skills required for technical assessments.
Open Resource ↗
✅ Eligibility Criteria
• Freshers & Experienced
• Bachelor's or Master's degree in the relevant field.
🎯
Don't miss this opportunity!
Apply before 19 Oct 2026 — only 5 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
• Technical Interview
• L1 & L2
• HR Interview
📋 About the Role
Barclays is a global financial services powerhouse with a presence in over 40 countries. In India, the bank has built a strong reputation for innovative digital banking solutions, robust risk management, and a culture that champions diversity and inclusion. The Corporate Digital Banking division focuses on delivering cutting‑edge products to retail and corporate clients, leveraging data to drive smarter decisions and superior customer experiences. As part of its commitment to technology‑led transformation, Barclays continuously invests in talent that can turn data into actionable insight, making it an attractive destination for fresh graduates eager to start a career in analytics.
The Data Analyst role in Pune sits at the heart of this transformation. Reporting to the Data & Analytics lead, you will be responsible for extracting, cleaning, and interpreting large volumes of structured and unstructured data to support strategic initiatives across the bank. You will work closely with business stakeholders, technology teams, risk, finance, and operations to understand analytical requirements, design robust data pipelines, and deliver visualisations that influence key decisions. The position offers exposure to end‑to‑end analytics lifecycle – from data ingestion to storytelling – and provides a platform to develop expertise in modern data tools while contributing to real‑world banking problems.
Key responsibilities include:
1. Deliver analytical outputs that translate complex data sets into clear insights, recommendations, and measurable business value.
2. Clean, validate, and prepare data with a high degree of accuracy using Excel, SQL, and Python/R.
3. Design, develop, and maintain automated data pipelines for seamless data movement and processing.
4. Apply statistical methods and advanced analytics (including machine learning techniques) to uncover trends, correlations, and predictive patterns.
5. Create interactive dashboards, scorecards, and visual reports using tools such as Tableau or Power BI, ensuring they are user‑friendly and aligned with stakeholder needs.
6. Partner with cross‑functional teams to define analytical requirements, success metrics, and data‑driven solutions.
7. Govern data quality, privacy, security, and regulatory compliance throughout the analytics workflow.
8. Drive continuous improvement by automating manual reporting, enhancing data quality, and expanding self‑service analytics capabilities.
9. Mentor junior analysts and act as a trusted advisor on data interpretation and metric design.
10. Escalate and resolve data‑related risks, ensuring adherence to internal controls and external regulations.
The tech stack for this role typically includes SQL, Python (pandas, numpy, scikit‑learn), R, Excel, Tableau/Power BI, and cloud platforms such as AWS or Azure for data storage and processing. Barclays offers a clear growth path – high‑performing analysts can progress to senior analyst, data scientist, or analytics manager roles, with opportunities to rotate across business units and gain exposure to global projects. Joining Barclays means becoming part of a collaborative, inclusive environment where continuous learning is encouraged, and your contributions directly impact the bank’s digital future.
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Don't miss this opportunity!
Apply before 19 Oct 2026 — only 5 days left
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📋 Quick Info
JOB ID
C2564-J005
POSTED
-12056s ago
TYPE
Fulltime
BATCH
All Batches
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