Data Analyst Jobs in Pune for Freshers and Experienced Professionals – Barclays Careers
Barclays has announced a job opening for the post of Data Analyst at its Pune location. This is an excellent opportunity for graduates, engineers, and postgraduates who are looking to start or advance their careers in data analytics and financial technology. Candidates with strong analytical and problem-solving skills are encouraged to apply.
Company Overview
| Name of the Company | Barclays |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Data analytics, problem-solving, and data visualization |
| Category | Risk Finance and Treasury |
| Work Type | Onsite |
About Barclays
Barclays is a leading global bank that provides financial and digital services across the world. As a Data Analyst, you will be part of the digital transformation journey — driving insights through advanced analytics, automation, and data-driven decision-making. This role is ideal for candidates who want to build a strong foundation in data engineering and financial analytics.
Position Details
Θ Positions: Data Analyst
Θ Job Location: Pune
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: JR-0000068517
Job Description
As a Data Analyst at Barclays, you will design, develop, and manage data systems that power key financial and operational decisions. Your core responsibilities include:
- Building and maintaining data pipelines, warehouses, and data lakes to ensure accurate and secure data flow.
- Designing scalable data architectures that handle large data volumes efficiently.
- Developing and optimizing processing algorithms for complex datasets.
- Collaborating with data scientists and engineers to deploy machine learning models into production.
- Delivering actionable insights that enhance decision-making across business divisions.
You will work with teams to innovate, automate, and implement data-driven strategies that align with Barclays’ technology and business goals.
Key Responsibilities
- Develop and maintain robust data architectures and ETL pipelines.
- Implement data governance and security best practices.
- Build efficient data models for analytics and visualization.
- Collaborate with engineering teams and business stakeholders to deliver end-to-end analytical solutions.
- Create detailed technical documentation and process flow diagrams.
- Influence stakeholders through clear communication and analytical insights.
Required Skills & Qualifications
- Strong programming experience with Oracle PL/SQL, Ab Initio, Spark, Scala, HDFS, Unix, and Teradata.
- Experience in data analytics, pipeline development, and large-scale data management.
- Understanding of Big Data technologies such as Cloudera, Hadoop, and Spark.
- Exposure to Cloud platforms (AWS, Azure, or GCP) is an added advantage.
- Hands-on experience with testing frameworks and analytical tools.
- Strong communication and collaboration skills to work with cross-functional teams.
- Problem-solving mindset with the ability to interpret complex data.
- Banking or financial domain knowledge preferred.
Leadership & Collaboration
Depending on your role level, you may:
- Lead or guide a team of analysts and developers.
- Contribute to risk management and data governance initiatives.
- Collaborate across multiple business units to align data strategies with organizational goals.
Why Join Barclays?
- Opportunity to work in a global financial analytics environment.
- Exposure to cutting-edge data engineering tools and cloud platforms.
- Career growth in one of the world’s top financial institutions.
- Collaborative culture that values innovation and continuous learning.
How to Apply:
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DISCLAIMER: The information provided on this page is intended solely for informational purposes for Students, Freshers, and Experienced candidates. All recruitment details are sourced directly from the official Barclays website or verified company sources. Latest MNC Jobs does not guarantee job placement, and the recruitment process will follow the company’s official HR guidelines. We do not charge any fees for job postings or applications and strongly advise candidates not to make any payments for employment opportunities.
