Barclays
Banking
BankingProductAnalyticsAVP
Neural analysis suggests this role is
optimal for Mid candidates.
“Banking Product Analytics AVP at Barclays. Skills: data science, advanced analytics, quantitative analytics, banking product analytics, statistical analysis, machine learning, advanced analytical techniques, Python, SQL, SAS. 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”
What You'll Achieve.
enable data-driven strategic and operational decision making; drive operational and process improvements; deliver on work that impacts the whole business function; deliver insights and recommendations
Industry & Context.
extracting actionable insights from large datasets; performing statistical and advanced analytics to uncover trends and patterns; Investigation and analysis of data issues; Apply advanced analytical techniques to large datasets to uncover trends and correlations; translate insights into actionable business recommendations; Engage in complex analysis of data from multiple sources of information; solve problems creatively and effectively
What They're Looking For.
Must Have
data science, advanced analytics, quantitative analytics, banking product analytics, statistical analysis, machine learning, advanced analytical techniques, Python, SQL, SAS, large datasets, production-oriented analytical processes, analytical workstreams independently, high-quality outputs, translate business questions into analytical approaches, partner effectively with Product, Technology, Risk, Controls, and Business stakeholders
Nice to Have
GenAI, LLM-enabled analytics, automation, enterprise knowledge solutions, supporting or mentoring junior analysts, deposit and lending analytics, campaign targeting, offer optimization, customer behaviour analysis, portfolio monitoring, data governance, data quality, controls needed to develop scalable, auditable, and production-ready analytical solutions, analytics modernization initiatives, cloud migration, automation, reusable analytical assets, process simplification, responsible AI principles, model risk considerations, regulatory expectations relevant to advanced analytics in financial services, risk and controls, change and transformation, business acumen strategic thinking, digital and technology
What You'll Do.
Investigation and analysis of data issues related to quality
and authoritative source identification
documenting data sources
and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations
develop validated logical data models
translate insights into actionable business recommendations that drive operational and process improvements
leveraging machine learning/AI
translate analytical findings into actionable business recommendations
identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools
automate reporting processes for regular and ad-hoc stakeholder needs
Engage in complex analysis of data from multiple sources of information
internal and external sources such as procedures and practises (in other areas
etc). to solve problems creatively and effectively
How You'll Work.
Team & Collaboration
Collaborate closely with other functions/ business divisions; partner effectively with Product, Technology, Risk, Controls, and Business stakeholders; partner effectively with Product, Technology, Risk, Controls, and Business stakeholders
Communication Scope
present findings through clear visualisations and reports; communicate complex information; Influence or convince stakeholders to achieve outcomes; communication skills
Process & Methodology
managing analytical workstreams independently, lead collaborative assignments, guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments, identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Full Job Description
# **Job Description** **Purpose of the role** 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 visualisations and reports. **Accountabilities** * 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. * Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. * Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements. * Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. **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 consisten
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