Senior Analytics Manager

As a Senior Analytics Manager, you will act as an analytics advisor and business partner to senior stakeholders across BUK to identify, evaluate and frame commercial opportunities and risks in order to understand and prioritise work across the BUK Advanced Analytics Centre of Excellence. You will lead a virtual team to investigate these issues with hypothesis driven analytics and use this insight to drive the wider BUK agenda to create value for customers, colleagues, the community, and the company.

To be successful as a Senior Analytics Manager, you should have experience with:

• Any of the following: creating business models (financial and consumer behaviours), determining how the business can create value through the application of information and analytics, marrying innovative customer analysis with the identification of commercial opportunities.

• Statistical analysis techniques.

• Expert user of programming in at least one computer language e.g., SAS, R, Python.

• Working knowledge of financial and management accounting.

Some other highly valued skills may include:

•    Expertise and practical experience of creating customer segmentation models.

•    Practical knowledge of data warehouse and MI environments and practices.

•    Project management and cross functional matrix leadership.

•    Expertise in one of the following analytical areas: Targeting or Segmentation, Pricing, Remediation, Securitisation, Affordability or Barclays internal Infrastructure.

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 can be based in London, Northampton, or Glasgow.

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. 

Accountabilities

• Identification and extraction of relevant data from various internal and external sources.
• Performing sensitivity analysis and scenario planning.
• Monitoring and evaluation of the performance of existing models.
• Development and implementation of data quality control procedures.
• Building and validation of quantitative models to support decision-making across different business areas.

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.