Data Analyst, AVP

Barclays•Jefferson, CO

1d•$169,541 - $186,495•Hybrid

About The Position

The purpose of the role is to enable data-driven strategic and operational decision-making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualizations and reports. The Assistant Vice President (AVP) role involves advising and influencing decision-making, contributing to policy development, and taking responsibility for operational effectiveness. This includes collaborating closely with other functions/business divisions, leading a team performing complex tasks, and setting objectives and coaching employees. For an individual contributor, the role involves leading collaborative assignments, guiding team members, identifying the need for other specializations, and identifying new directions for assignments or projects. The role also involves consulting on complex issues, advising People Leaders on escalated issues, identifying ways to mitigate risk, developing new policies/procedures, and taking ownership for managing risk and strengthening controls. The position requires performing work closely related to other areas, understanding how areas coordinate, and collaborating with other areas of work for business-aligned support. It involves complex analysis of data from multiple internal and external sources to solve problems creatively and effectively, and communicating complex information, which may include sensitive information or information that is difficult to communicate due to its content or audience. Influencing or convincing stakeholders to achieve outcomes is also a key aspect. All colleagues are expected to demonstrate the Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and the Barclays Mindset (Empower, Challenge, Drive).

Requirements

Experience in data-driven strategic and operational decision making.
Experience in extracting actionable insights from large datasets.
Experience in performing statistical and advanced analytics to uncover trends and patterns.
Experience in presenting findings through clear visualizations and reports.
Experience in investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
Experience in documenting data sources, methodologies, and quality findings with recommendations for improvement.
Experience in designing and building data pipelines to automate data movement and processing.
Experience in applying advanced analytical techniques to large datasets to uncover trends and correlations.
Experience in developing validated logical data models.
Experience in translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Experience in designing and creating interactive dashboards and visual reports using applicable tools.
Experience in automating reporting processes for regular and ad-hoc stakeholder needs.
Experience in facilitating the delivery of high-quality data insights utilizing a range of business intelligence utilities and analytics capabilities.
Experience in supporting the implementation of Wholesale Client Onboarding & Group Financial Crime Operations data strategy.
Experience in undertaking data analysis to support performance and improvement.
Experience in building and utilizing reporting in a range of tools including SQL, Python, Alteryx & Tableau, leveraging existing Data Warehousing solutions & establishing new data sources.
Experience in producing and maintaining clear, articulate & insightful reporting to best deliver outputs & derived insights to internal and external stakeholders.
Experience in tracking, managing and governing proactive and reactive data validations for all Critical Data Elements across Conduct Risk, Wholesale Customer Data and Identity Service.
Experience in completing data dictionary and data lineage work in support of data strategy for Wholesale Client Onboarding & Group Financial Crime Operations.
Experience in supporting the client hierarchies interpersonally for Wholesale Clients and acting as a product owner for the hierarchy data and definition, including data lineage, data quality.
Experience in establishing and maintaining interdependent working relationships with operational teams and senior leadership across Wholesale Onboarding & Group Financial Crime Operation.
Experience in interfacing with multiple functions across the Bank, including Technology, Finance, Operations, Compliance & Risk.
Experience in leading a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Experience in setting objectives and coaching employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Experience in leading collaborative assignments and guiding team members through structured assignments.
Experience in identifying the need for the inclusion of other areas of specialisation to complete assignments.
Experience in identifying new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Experience in consulting on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Experience in identifying ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Experience in taking ownership for managing risk and strengthening controls in relation to the work done.
Experience in performing 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.
Experience in collaborating with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Experience in engaging 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.
Experience in communicating complex information.
Experience in influencing or convincing stakeholders to achieve outcomes.
Demonstrate Barclays Values of Respect, Integrity, Service, Excellence and Stewardship.
Demonstrate the Barclays Mindset – to Empower, Challenge and Drive.

Nice To Haves

Leveraging machine learning/AI.

Responsibilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
Documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Applying advanced analytical techniques to large datasets to uncover trends and correlations.
Developing validated logical data models.
Translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Designing and creating interactive dashboards and visual reports using applicable tools.
Automating reporting processes for regular and ad-hoc stakeholder needs.
Facilitating the delivery of high-quality data insights utilizing a range of business intelligence utilities and analytics capabilities.
Supporting the implementation of Wholesale Client Onboarding & Group Financial Crime Operations data strategy.
Undertaking data analysis to support performance and improvement.
Building and utilizing reporting in a range of tools including SQL, Python, Alteryx & Tableau, leveraging existing Data Warehousing solutions & establishing new data sources.
Producing and maintaining clear, articulate & insightful reporting to best deliver outputs & derived insights to internal and external stakeholders.
Tracking, managing and governing proactive and reactive data validations for all Critical Data Elements across Conduct Risk, Wholesale Customer Data and Identity Service.
Completing data dictionary and data lineage work in support of data strategy for Wholesale Client Onboarding & Group Financial Crime Operations.
Supporting the client hierarchies interpersonally for Wholesale Clients and acting as a product owner for the hierarchy data and definition, including data lineage, data quality.
Establishing and maintaining interdependent working relationships with operational teams and senior leadership across Wholesale Onboarding & Group Financial Crime Operation.
Interfacing with multiple functions across the Bank, including Technology, Finance, Operations, Compliance & Risk.
Leading a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Setting objectives and coaching employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Leading collaborative assignments and guiding team members through structured assignments.
Identifying the need for the inclusion of other areas of specialisation to complete assignments.
Identifying new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Performing 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.
Collaborating with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engaging 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.
Communicating complex information.
Influencing or convincing stakeholders to achieve outcomes.
Identifying ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Taking ownership for managing risk and strengthening controls in relation to the work done.