Senior Data Analyst

Join us as a Senior Data Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to evolutionise our digital offerings, ensuring unparalleled customer experiences.

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

• Expertise in SQL, R or Python statistical programming and Data Analysis.

• Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data.

• Experience of data modelling on both relational, big data and Cloud platforms. Should be able liaise stakeholders and draft requirements documentation.

Some other highly valued skills may include:

• Good understanding of Banking and Financial domain.

• Strong analytical skills and aptitude for problem solving Great verbal and written communication skills.

• Able to lead/mentor small-medium size data/Business analyst team with the different technical and functional skills across locations.

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 and digital and technology, as well as job-specific technical skills.

This role is based out of Pune.

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.

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.