Senior Analytics Manager

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

• 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.

Join us as a Senior Analytics Manager in Client Insights team. The Client Insights team exist to create new data products and insights and run a range of existing products marketed under Client Insights in Global Transaction Banking by commercialising the vast data we hold on our clients, their products, markets and competitors. 

The purpose of the role is to manage and develop an advanced analytical team delivering insights to external corporate clients using the Barclays transactional and demographic data, utilising the Hadoop-based platform. It will also involve collaborating with the rest of Client Insights (Product, Proposition Management) to lead the analytical development on new scale insights data products and insights through new tooling such as AWS and Tableau/Power BI.

Accountability Specifics:

• Leads on execution of existing live insights products, including scoping direct with clients and utilising a team of analysts to deliver on contracted targets and SLAs, while maintaining output accuracy.
• Be the go-to contact for analytical questions for existing contracted corporate clients.
• Collaborates with BUK CDAO and Corporate Data Services to deliver on our AWS migration, including leading proofs of concept for new data enrichment models within Client Insights and production implementation through technology partners.
• Demonstrate insights innovation in the development of scale insights for corporates, including new insight visualisation, code and output standardisation.
• Regularly contribute at pricing and project scoping discussions, applying analytical thinking to pricing to ensure maximum return on resources utilised. 
• Build and maintain a broad network of internal and external stakeholders at all levels of seniority across digital, data, technology, corporate coverage and Go to Market.
   

Essential Skills/Preferred Qualifications:

• Bachelor’s degree in an analytical / statistical discipline required (e.g. Statistics, Economics, Mathematics, Finance, Operations Research or related quantitative field).
• At least some years of leading a data and analytics function/team and an understanding of big data platforms, data analytics and reporting tools and techniques.
• Experience of working with a range of stakeholders and building effective relationships across the business and geographies.
• Strong knowledge of Python and SQL.
• Proficiency in data visualisation software, ideally Tableau.

Desired Skills/Preferred Qualifications:

• Experience of big data platforms such as Hadoop and Teradata.
• Experience in applying Data Science/AI/ML preferred.
• Familiarity with AWS.

You may be assessed on the key critical skills relevant for this 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.