Barclays is hiring for the position of Data Analyst in Pune, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Barclays |
| Position | Data Analyst |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Pune, India |
Accountabilities:
- Conduct detailed investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, while documenting data sources, methodologies, findings, and recommending improvements.
- Design and develop robust data pipelines to automate data movement, transformation, and processing.
- Apply advanced analytical techniques to large and complex datasets to identify trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations leveraging machine learning and AI capabilities.
- Convert data-driven insights into practical business recommendations that drive operational efficiency and process improvements.
- Design and develop interactive dashboards and visual reports using appropriate tools, while automating regular and ad-hoc reporting processes for stakeholders.
Analyst Expectations:
- Deliver assigned tasks accurately and within timelines, consistently driving continuous improvement and maintaining high-quality standards.
- Demonstrate in-depth technical expertise and a thorough understanding of principles and concepts within the assigned domain.
- Lead and supervise team members, supporting their professional development, allocating tasks effectively, and coordinating team resources where applicable.
- Exhibit strong leadership behaviors—Listen and be authentic, Energize and inspire, Align across the enterprise, and Develop others—when managing people responsibilities.
- As an individual contributor, continuously build technical expertise and act as a subject matter advisor within the area of specialization.
- Influence and contribute to the work of related teams within the function and collaborate effectively with other business units.
- Take accountability for the end-to-end outcomes of team operations and processing activities.
- Escalate policy or procedural breaches appropriately and support the implementation of revised policies and procedures introduced for risk mitigation.
- Advise and influence decision-making within the area of expertise while ensuring compliance with applicable regulations and codes of conduct.
- Take ownership of risk management and strengthening internal controls related to assigned responsibilities.
- Develop and maintain a strong understanding of how the sub-function integrates within the broader function, including knowledge of organizational products, services, and processes.
- Demonstrate awareness of cross-functional coordination and contribution toward achieving organizational objectives.
- Make sound evaluative judgments based on detailed factual analysis and technical expertise.
- Resolve complex issues by applying experience, established precedents, and technical knowledge.
- Communicate complex or sensitive information effectively and guide or influence team members where required.
- Act as a key point of contact for stakeholders outside the immediate function while building and maintaining strong internal and external professional networks.
Eligibility Criteria:
- Demonstrate strong experience in data analysis using SQL to extract, transform, and interpret data effectively.
- Possess a solid understanding of Data Lakehouse and Data Warehouse concepts, including data architecture and storage principles.
- Have domain knowledge in Payments data, including familiarity with SWIFT messaging standards and ISO 20022 formats.
- Exhibit a strong understanding of data modelling concepts, including logical and physical data models.
Preferred Skills:
- Demonstrate experience in data analysis using Python for advanced analytics and data processing.
- Have hands-on experience with Lakehouse technologies such as Snowflake, Databricks, or similar platforms.
- Possess working knowledge of standard project management and collaboration tools, including JIRA and Confluence.
- Demonstrate an understanding of Unix environments and ETL (Extract, Transform, Load) concepts.
- Have a strong foundation in RDBMS database concepts and relational data structures.
About Company:
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
How To Apply?
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