Senior Decision Analyst

Join us as a Senior Decision Analyst in Client Insights team. The Client Insights team exist to create new data products and insights for direct consumption by Barclays corporate clients, 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 create insights, in collaboration with product and proposition management, focussing on key business issues relating to external clients using the Barclays transactional and demographic data, on the Hadoop-based platform. There is also a focus on creating new data assets, models and indicators to commercialise within the datasets, and contributing to the cloud migration agenda through new tooling such as AWS and Tableau/Power BI.

Accountability Specifics:

• Primary responsibility is to create new insights, as well as handing over this reporting once it becomes BAU to the delivery teams, to deliver on our client commitments. Analysis is run on the SQL Hadoop-based platform.

• Work as part of a project team to create new data assets, models and indicators for commercialisation and engagement with clients, applying customer-centric thinking to the product synthesis.

• Identify trends, customer behaviours and commercial opportunities in the data to produce new insights to support the wider Client Insights agenda, including ad-hoc deep dives on areas of interest in consumer spend.

• Demonstrate an innovate approach to data-based problem solving to support UK-based businesses strategy and develop a strong relationship with these external stakeholders.

• Investigate and self-lead initiatives to improve the accuracy, availability, granularity and coverage of our data.

• Communicate findings of analysis in meetings with stakeholders using visually compelling reports and presentations using visualisation tools such as Tableau.

• Support in the incremental improvement of the insights agenda by identifying areas of operational weakness and proactively thinking of solutions to improve processes

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 working within 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 SQL

• Proficiency in data visualisation software, ideally Tableau.

Desired Skills/Preferred Qualifications

• Experience of big data platforms such as Hadoop and Teradata.

• Proficiency in Python.

• 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.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

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.