Senior Decision Intelligence Analyst

8192 Barclays Bank UK PLC; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Barclays is seeking a Senior Decision Intelligence Analyst to provide independent, insight-led advisory to senior stakeholders. You will develop decision products and translate complex problems into actionable recommendations to support strategic and operational choices.

The role requires framing business challenges, building financial/value models, and guiding stakeholders through solutions with evidence-based outcomes. London, Northampton or Glasgow locations are possible.

Qualifications

• Degree in a quantitative or business-related field.
• Proven experience in analytics, decision science, strategy, consulting or research roles.
• Deep commercial awareness and experience balancing customer, business and operational outcomes.
• Experience mentoring junior team members.

Responsibilities

• Provide strategic advisory to senior stakeholders to support decision making.
• Develop decision products and actionable insights to influence outcomes across the business.
• Lead analytical activities end-to-end from problem definition to implementation and impact measurement.
• Collaborate with cross-functional teams to align on priorities and deliverables.

Skills

Analytical thinking

Stakeholder management

Commercial judgement

Python

SQL

R

ML/AI knowledge

Education

Quantitative degree

Tools

Python

R

SQL

Databricks

Job description

Purpose of the role

To provide independent and balanced advice and counsel to senior stakeholders through problem identification, solving and decision making practices.

Accountabilities

Provision of strategic advice to Group Executives to support the decision-making process of business challenges and opportunities. Development and implementation of strategic advisory incentives to grow and optimise the bank's operations, through market research and analysis. Collaboration with various stakeholder groups to identify the appropriate strategic direction type to meet the needs of Barclays clients and investors. Development of financial models to support strategic recommendations and transactions through financial data analysis, financial projects and considering the financial impact of transactions. Management of transactions, negotiations, transaction structure development and post-transaction integration. Collaboration with internal stakeholders to maintain client relationships, and develop new relationships to identify opportunities. Identification of industry trends, maintain peer benchmarking and developments related to strategic advisory services by attendings conferences, participating in training and conducting market research.

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. 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 Barclays as a Senior Decision Intelligence Analyst, where you'll help solve complex business challenges and improve customer and business outcomes through insight-led decision making. You will develop decision products, generate actionable insights, and provide clear recommendations that support strategic and operational decisions across the business. Success in this role requires more than technical analytics capability. We are looking for individuals who can frame complex business problems, identify the most important insights, evaluate alternative solutions and make clear recommendations supported by evidence. Candidates should be comfortable working with ambiguity, applying structured thinking and exercising sound commercial judgement. To be successful as a Senior Decision Intelligence Analyst, you should have:

To be successful as a Senior Decision Intelligence Analyst, you should have:

• Excellent analytical thinking and problem-solving abilities, with the ability to structure ambiguous business challenges
• Proven experience in analytics, decision science, strategy, consulting or research roles
• Deep commercial awareness and experience balancing customer, business and operational outcomes
• Ability to translate complex business problems into clear analytical approaches and recommendations
• Experience identifying key drivers of business performance and turning data into actionable insight
• Effective stakeholder management and communication skills
• Experience using evidence and insight to influence decision making and challenge existing assumptions
• Ability to present complex findings and recommendations to non-technical audiences
• Collaborative approach to working with cross-functional teams
• Experience leading analytical activities end-to-end, from problem definition and stakeholder alignment through to implementation, benefit realisation and impact measurement

Some other highly valued skills may include:

• Experience at a large Consulting firm (preferably Analytics, Strategy or Customer Consulting)
• Experience in financial services or other customer-focused industries
• Demonstrated experience solving customer, commercial or strategic business problems
• Degree in a quantitative or business-related field (Statistics, Mathematics, Economics, Business, Computer Science, etc.)
• Knowledge of customer analytics, proposition development or decisioning methodologies
• Understanding of experimentation, measurement and evidence-based decision making
• Experience mentoring junior team members
• Experience working within Agile delivery environments and adapting analytical approaches to evolving business priorities
• Knowledge of programming languages commonly used in analytics (Python, R, SQL)
• Experience working with cloud-based analytics platforms and modern data ecosystems (e.g. Databricks)
• Knowledge of machine learning and AI applications

This role can be based in either London, Northampton or Glasgow.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.