BIA AVP - Data Analytics

About the job

Join us as a “BIA AVP - Data Analytics”, where you will use data insights to enhance audit quality and drive innovation. As part of the BIA Data Analytics team, you will develop solutions for audit testing, automate manual processes, and explore new technologies to improve assurance methods. Your role will involve supporting data-driven risk assessments, optimizing audit efficiency, and collaborating with stakeholders to enhance compliance frameworks. To be successful as a “BIA AVP - Data Analytics", you should have experience with: • Practical experience and knowledge of data analysis/data modelling – with SQL/Python/other. • Practical experience working with SQL and relational databases. • Critical mind-set, and ability to challenge ideas to find the most appropriate solution. • Strong communication and interpersonal skills, particularly with regard to describing complex programming to non-technical audiences. • Proven ability to manage multiple tasks, balancing conflicting priorities. Desirable skills/Preferred Qualifications: • Experience of working in an Audit team / Audit function. • Experience with advanced data science/machine learning. • Experience with AWS/Alteryx technologies. • Experience developing self-service automations/dashboards/data models to simplify repetitive tasks. 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.

Requirements

• Data Analysis
• SQL
• Python
• Data Modelling

Preferred Technologies

• Data Analysis
• SQL
• Python
• Data Modelling

About the company

Barclays is a British multinational bank and financial services company, which provides various banking products and services worldwide.