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Join us as a Senior Decision Intelligence Analyst at Barclays where you'll be primarily responsible for extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders.
Job Responsibility:
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
Requirements:
Proven experience in analytics, data science, or research roles
Excellent analytical thinking and problem-solving abilities
Effective stakeholder management and communication skills
Proficiency in analytical methodologies and data interpretation
Ability to translate business problems into analytical frameworks
Experience presenting complex findings to non-technical audiences
Collaborative approach to working with cross-functional teams
Knowledge of data visualization techniques and storytelling with data
Experience with project delivery in an analytical context
Understanding of data quality and integrity principles
Nice to have:
Experience at a large Consulting firm (preferably Analytics consulting)
Experience in the financial services industry
Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.)
Knowledge of machine learning and AI applications
Familiarity with data governance frameworks
Understanding of agile methodologies
Experience mentoring junior team members
Knowledge of programming languages commonly used in analytics (Python, R, SQL)
Experience with data visualization tools (Tableau, Power BI, etc.)