Saturday, October 11, 2025

Barclays Fresher Recruitment 2025 | Data Analyst | Pune | Fraud Analytics | Placement Officer

 

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Barclays Fresher Recruitment 2025 | Data Analyst | Pune | Fraud Analytics | Placement Officer

Executive Summary

Barclays is hiring freshers for Data Analyst positions in Pune through their 2025 recruitment drive. This permanent role in the Fraud Analytics Strategy Technology team requires strong technical skills in SQL, SAS, and Python. The position focuses on data quality management, analysis of large datasets, and supporting fraud detection initiatives. Candidates need hands-on experience with data analysis tools and understanding of data management frameworks. This role offers exposure to global stakeholders and cutting-edge technologies like Apache Spark, Databricks, and AWS cloud services in the banking sector.


Detailed Job Description

Position Overview

·         Role: Data Analyst

·         Company: Barclays

·         Location: Pune, India

·         Business Area: Fraud Analytics Strategy Technology

·         Contract: Permanent

·         Reference Code: JR-0000059277

·         Date Live: October 8, 2025

Department Overview

Barclays Data and Analytics is a hub for talent driving business strategy and enhancing customer experiences through data-driven insights in the financial services sector.

Key Responsibilities

Data Analysis & Quality Management

·         Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification

·         Execution of data cleansing and transformation tasks to prepare data for analysis

·         Designing and building data pipelines to automate data movement and processing

·         Development and application of advanced analytical techniques, including machine learning and AI

Technical Implementation

·         Technical analysis of data migration projects covering database & table level details

·         Creating & maintaining Data Dictionaries, Metadata, Data Lineage, and Mapping documentation

·         Strong SQL query writing for small to medium complexity requirements

·         Working with large datasets on data extraction, cleaning, analysis, and presentation

Stakeholder Collaboration

·         Working across complex technical and business stakeholder matrix across multiple geographies

·         Documentation of data quality findings and recommendations for improvement

·         Communicating complex information to stakeholders across the organization

·         Collaborating with other business areas to align with organizational objectives


Essential Skills Required

Core Technical Skills

·         SQL: Strong query writing abilities for data analysis and extraction

·         SAS: Minimum 2 years hands-on experience with ad-hoc analysis and BAU reporting

·         Python: Exposure to Python programming for data analysis, automation, and scripting

·         Data Tools: Experience with Tableau, Power BI, or other data visualization tools

·         Cloud Services: Knowledge of Apache Spark, Databricks and AWS cloud services

Data Management

·         Understanding of Technology Application Delivery and Data Management control frameworks

·         Experience with data migration projects and reconciliation processes

·         Knowledge of OLAP and OLTP capabilities

·         Experience creating API Catalogues and interface inventories

Professional Competencies

·         Ability to work across complex stakeholder matrices

·         Strong analytical and problem-solving skills

·         Flexibility to overlap with US, UK and India time zones

·         Superior drive for results with ability to juggle priorities


Preferred Qualifications

Technical Certifications

·         SAS Certified Base and/or Advanced Programmer certifications

·         AWS certifications (Solutions Architect, Data Analytics, Machine Learning)

·         Advanced Tableau/Power BI skills including calculated fields and parameters

Advanced Skills

·         Practical agile methodology experience

·         Advanced Python libraries (Pandas, NumPy, Matplotlib, Seaborn)

·         PySpark for distributed data processing

·         Experience in batch and real-time warehousing

·         Banking and financial services exposure specifically in fraud detection


Career Growth Expectations

Assistant Vice President Track

·         Advise and influence decision making, contribute to policy development

·         Lead teams performing complex tasks impacting entire business function

·         Set objectives and coach employees in pursuit of those objectives

·         Identify ways to mitigate risk and develop new policies/procedures

Leadership Development

·         Demonstrate Barclays LEAD behaviors: Listen, Energize, Align, Develop

·         Lead collaborative assignments and guide team members

·         Consult on complex issues and provide advice to People Leaders

·         Engage in complex analysis of data from multiple sources


Pro Tips for Successful Application

1. Technical Preparation

·         Master SQL query writing for complex data extraction

·         Build strong SAS programming skills with practical projects

·         Develop Python expertise for data analysis and automation

·         Practice with data visualization tools like Tableau or Power BI

2. Domain Knowledge

·         Understand fraud detection methodologies in banking

·         Study data management frameworks and governance standards

·         Learn about AWS cloud services for data analytics

·         Research Barclays' business operations and data strategy

3. Skill Demonstration

·         Create portfolio showcasing data analysis projects

·         Highlight experience with large datasets and data cleaning

·         Demonstrate understanding of data quality frameworks

·         Showcase problem-solving abilities with concrete examples

4. Company Alignment

·         Research Barclays' Values: Respect, Integrity, Service, Excellence, Stewardship

·         Understand their Mindset: Empower, Challenge, Drive

·         Align with their focus on risk management and controls

·         Demonstrate understanding of global banking operations


FAQs

Q: Is this role suitable for complete freshers?

A: While targeting freshers, the role requires hands-on experience with SQL, SAS, and Python, suggesting some practical exposure is needed.

Q: What is the work location in Pune?

A: The role is based in Barclays' Pune office, with details available through their "See your commute" feature.

Q: Are certifications mandatory for application?

A: While not mandatory, SAS and AWS certifications are highly valued and can strengthen your application.

Q: What is the career progression like?

A: The role offers a path to Assistant Vice President with leadership responsibilities and broader business impact.

Q: Is banking experience required?

A: While banking exposure is preferred, strong technical skills and quick learning ability are more critical.

Q: What are the working hours?

A: Flexibility to overlap with US, UK and India time zones is required, suggesting some non-standard hours.


Why Join Barclays?

Global Exposure

·         Work in Fraud Analytics for a global banking leader

·         Exposure to international stakeholders and projects

·         Cutting-edge technology stack in data analytics

·         Comprehensive learning and development programs

Career Development

·         Clear career progression to leadership roles

·         Mentorship and coaching opportunities

·         Cross-functional collaboration experiences

·         Professional certification support

Company Culture

·         Strong values framework: Respect, Integrity, Service, Excellence, Stewardship

·         Empowerment and challenge mindset

·         Inclusive and diverse work environment

·         Focus on risk management and ethical practices

Application Strategy

Key Differentiators

·         Demonstrate strong technical skills in SQL, SAS, and Python

·         Show understanding of data quality and governance frameworks

·         Highlight problem-solving abilities in data analysis contexts

·         Express interest in fraud detection and financial services

Preparation Focus

1.       Technical Skills: SQL, SAS, Python, data visualization

2.      Domain Knowledge: Banking, fraud analytics, data management

3.      Soft Skills: Stakeholder management, communication, leadership

4.     Company Fit: Barclays values, mindset, and business objectives

Conclusion

The Data Analyst position at Barclays offers an exceptional opportunity for freshers to build a career in data analytics within the global banking sector. The role in Fraud Analytics Strategy Technology provides exposure to cutting-edge technologies and complex business challenges. With a clear career progression path and comprehensive development opportunities, this position is ideal for technically skilled candidates interested in financial services.

Ideal candidates should demonstrate strong analytical capabilities, technical proficiency in data tools, and alignment with Barclays' values and business objectives. The Pune location and global exposure make this a valuable career starting point in the data analytics field.

Application Tip: Focus on showcasing practical data analysis experience, demonstrate your technical skills through projects, and highlight how your capabilities align with Barclays' focus on risk management and data-driven decision making in the banking sector.

Barclays provides a robust platform for data professionals to develop technical expertise while contributing to meaningful fraud detection initiatives, offering the perfect blend of technical challenge and business impact in the financial services industry. 

🔗 Apply Link: Click Here To Apply for Barclays 

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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