Senior Data Analyst

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

• 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.

Join us as a Senior Data Analyst at Barclays, where you`ll interpret data to provide insights that drive strategic decision-making across the business. You`ll collaborate with various teams to optimise processes, enhance data-driven strategies and ensure compliance with industry regulation.

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

• Capturing business requirements and translate into technical data requirements.

• Logical data modelling (e.g. ERWIN, Archi, MagicDraw).

• Analytical literacy within a complex e2e architecture and data analysis tooling Python, R, SQL.

• Knowledge of Wholesale Markets business and related data flows.

Some other highly valued skills may include:

• Experience in Business/Data analysis and storytelling methods to present complex data issues in a simple and engaging manner.

• Passion for and commitment to ensure data quality with meticulous attention to detail.

• Experience in data and operating model process re-engineering and ownership.

• Exposure to data integration design strategies both for internal and external customer usage.

You may be assessed on the 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 in London.