Job Description

Join Barclays as a Senior Data Analyst in our Solution Design team. The purpose of the Solution Design organization is to support is to defined / design technology and business solutions to meet organizational goals, including requirements gathering, data analysis, data architecture, system integration, and delivering scalable, high-quality designs aligned with both business and technical needs.


To be a successful Senior Business Analyst, you should have experience with:

Experience in delivering large-scale change in complex environments, acting as a thought leader in requirements documentation and workshop facilitation to gather, clarify, and communicate business needs effectively. Strong data analysis, data modelling skills, capable of performing data validations, anomaly detection and making sense of large volumes of data to support decision-making. Advanced SQL proficiency for querying, joining, and transforming data to extract actionable insights together with experience of data visualization tools (e.g. Tableau, Qlik, Business Objects). Effective communicator, able to understand complex technical concepts and translate them into clear, accessible language for diverse audiences. Skilled in liaising between business stakeholders and technical teams to achieve a clear and mutual understanding of data interpretations, requirements definition and solution designs. Experience working in Banking and Financial services, particularly in wholesale credit risk. Background in implementing data governance standards, including metadata management, lineage, and stewardship.

Additional relevant skills given below are highly valued:

Experience with Python data analysis and associated visualisation tools Familiarity with external data vendors for sourcing and integrating company financials and third-party datasets. Experience with wholesale credit risk internal ratings-based (IRB) models and regulatory frameworks.

This role is for Chennai/Pune location as an Individual Contributor.

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

Accountabilities

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, to solve complex business problems. Documentation of data quality findings and recommendations for improvement.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.