Location
Pune, India
Type
Full-time
Salary
Not Disclosed
Experience
2+ Years (Preferred)
Job Description
Join Barclays as a Data Analyst in the Fraud Analytics Strategy Technology team, responsible for supporting the successful delivery of location strategy projects while driving innovation and excellence across the bank’s digital landscape. You’ll leverage advanced data technologies and analytical tools to generate insights, streamline processes, and enhance customer experiences in a data-driven environment.
Responsibilities
- Support the successful delivery of data and location strategy projects according to plan, budget, and governance standards.
- Perform technical data analysis, including data migration, reconciliation, and SAS process migrations.
- Create and maintain Data Dictionaries, Metadata, Data Lineage, and Mapping documentation.
- Write and optimize SQL queries for data extraction and transformation.
- Perform ad-hoc analysis and BAU reporting using SAS software.
- Collaborate across technical and business teams to gather requirements and define solutions.
- Develop and maintain dashboards using Tableau or other data visualization tools.
- Execute data cleansing and transformation tasks to ensure high data quality and reliability.
- Contribute to the design and automation of data pipelines and processing workflows.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 2+ years of experience in data analysis, data migration, or data-focused business analysis.
- Strong proficiency in SQL and SAS for data processing and reporting.
- Experience with Python for automation, scripting, and data analysis.
- Understanding of OLAP/OLTP systems and data management frameworks.
- Knowledge of Apache Spark, Databricks, and AWS cloud services.
- Hands-on experience with Tableau, Power BI, or Qlik for dashboarding and visualization.
- Familiarity with Agile methodologies and data governance practices.
- Excellent analytical, problem-solving, and communication skills.
Position Overview
The Data Analyst at Barclays plays a vital role in the Fraud Analytics and Strategy Technology division, ensuring the highest data integrity and supporting data-driven decision-making processes. You will work with cross-functional teams to design, execute, and monitor analytics projects that help prevent fraud and enhance banking security. The role focuses on building efficient data pipelines, performing advanced analytics, and visualizing insights that directly impact Barclays’ global operations. By joining this role, you’ll contribute to the development of intelligent data ecosystems that power one of the world’s most technologically advanced banking infrastructures.
Key Responsibilities
- Analyze, migrate, and reconcile complex datasets across multiple banking systems and applications.
- Develop and maintain robust data documentation, including data lineage and metadata frameworks.
- Collaborate with engineering and business teams globally to align data-driven initiatives and compliance requirements.
- Perform reporting and analytics using SAS and SQL, generating insights for fraud detection and risk management.
- Create interactive dashboards using Tableau, Power BI, or Qlik to visualize patterns and key performance metrics.
- Leverage Python and AWS to automate data pipelines, streamline reporting, and support real-time analytics workflows.
Why You Might Like This Role
- Work with modern analytics and cloud platforms such as Databricks, Spark, and AWS to solve real-world financial challenges.
- Be part of a global financial powerhouse that’s transforming its data infrastructure to fight fraud and optimize customer experience.
- Collaborate with international teams across the UK, US, and India in a high-impact, technology-driven environment.
- Contribute to developing systems that improve data quality, reliability, and governance at scale.
- Enjoy the opportunity to drive tangible business outcomes by enabling smarter, data-informed decisions.
Professional Development
- Enhance your data engineering and analytics expertise by working on large-scale enterprise data systems.
- Receive mentorship from senior data professionals and participate in Barclays’ continuous learning programs.
- Gain experience with advanced cloud analytics platforms like AWS, Databricks, and Spark.
- Develop a solid understanding of data governance, quality management, and risk assessment frameworks.
- Improve your visualization and presentation skills by designing dashboards that influence business strategy.
Work Culture & Benefits
- Hybrid working options that combine the flexibility of remote work with on-site collaboration.
- An inclusive and supportive work culture that values innovation, integrity, and respect.
- Access to Barclays’ world-class training programs and leadership development courses.
- Opportunities to collaborate with global teams in London, New York, and Singapore.
- Modern, eco-friendly Pune campus featuring ergonomic workspaces, cafes, and wellness facilities.
Frequently Asked Questions
Q: What technologies will I work with at Barclays?
A: You’ll work with SQL, SAS, Python, Databricks, Spark, AWS, and visualization tools such as Tableau and Power BI.
Q: Is prior experience required for this role?
A: Yes, candidates with at least 2 years of experience in data analysis, business analysis, or similar technical roles are preferred.
Q: Where is this position based?
A: This position is based in Barclays’ Pune campus with hybrid work flexibility.
Q: Does Barclays provide training for new hires?
A: Yes, Barclays offers extensive onboarding, technical training, and professional certification support for employees.
Application Strategy
To stand out in your Barclays Data Analyst application, focus on your ability to work with SQL, SAS, and Python to extract and analyze data efficiently. Highlight prior experience with data visualization tools like Tableau or Power BI, and demonstrate familiarity with cloud and big data platforms such as AWS and Databricks. Use real examples of how your analytical work has led to measurable improvements or insights in past roles. During interviews, showcase your collaborative mindset, attention to detail, and enthusiasm for data governance and quality improvement. Emphasize your understanding of financial data, fraud prevention, or analytics-driven decision-making to align with Barclays’ mission of secure and intelligent banking.