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Barclays

Data Analyst

Posted 2 Days Ago
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In-Office
Pune, Maharashtra, IND
Entry level
In-Office
Pune, Maharashtra, IND
Entry level
Develop and operationalize scalable data solutions for Barclays’ corporate data services. Build data models, pipelines, APIs, reporting structures, and data-driven products using SQL, MongoDB, Snowflake, Kafka, and Flink. Analyze payment and event-driven data flows, define mappings and acceptance criteria, validate data quality, and support regulatory and operational reporting. Collaborate with business, technology, and data teams while applying secure coding, testing, governance, and risk-control practices.
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Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Data Analyst at Barclays where you will play a key role in transforming data into actionable insights while contributing to the design, development, and operationalization of scalable data solutions. You will work across business, data, and technology domains, leveraging modern data engineering and software engineering practices to deliver trusted, high-quality data products that support critical business decisions. The role combines analytical expertise with hands-on data modelling, enabling the development of robust data pipelines, APIs, reporting solutions, and data-driven products aligned to Barclays' Corporate data Services agenda.

To be successful as a Data Analyst, you should have experience with:

  • Advanced SQL and data modelling for large-scale enterprise data platforms

  • Experience on real-time data processing and Data engineering technologies such as Mongo DB,  Snowflake, or equivalent database platforms

  • Understanding of SWIFT messaging standards: ISO 20022 (pain, pacs, camt) and SWIFT MT formats

  • Domain knowledge of Payment processing systems, Clearing and settlement workflows, and financial message flows

  • Proven experience creating source‑to‑target mapping documents for data integration projects

  • Skills to define canonical data models, event schemas, and reporting structures across Kafka/Flink streaming pipelines and MongoDB

  • Analyse event‑driven data flows, define mappings and acceptance criteria, validate data accuracy, and ensure delivered APIs meet client, regulatory, and operational reporting needs

Some other highly valued skills may include:

  • MongoDB, SQL proficiency for data analysis and validation

  • REST APIs, Microservices, and event-driven architecture concepts

  • Exposure to event-driven architectures (Kafka/Flink)

  • Experience with data governance, data quality, metadata management, and data lineage frameworks

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, stakeholder management, and digital and technology, as well as job-specific technical skills.

The role is based out of Pune.

Barclays Pune, Mahārāshtra, IND Office

Pune, Maharashtra , India, 411014

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