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At Barclays, we don’t just adapt to the future – we create it. Embark on a transformative journey as a Senior Analytics Manager - VP, where you’ll play a pivotal role in shaping the future of Barclays UK (BUK) Data & Analytics (DNA) team, your role involves identifying and evaluating commercial opportunities and risks, prioritizing work across the BUK, and leading virtual teams to investigate these issues. Your key responsibilities are expected to drive strategic outcomes that improves profitability, customer experience, or operational efficiency. Your key role is to solve High Impact problems often involving cross functional change. Typical deliverables are building analytical and data science capabilities that drive Strategic roadmaps, Business case development, Target Operating model design. Provide strategic advice to Group Executives to support the decision-making process of business challenges and opportunities. You will also manage stakeholder relationships, communicate complex ideas effectively, and ensure compliance with regulatory requirements.
Job Responsibility
Identifying and evaluating commercial opportunities and risks
prioritizing work across the BUK
leading virtual teams to investigate these issues
driving strategic outcomes that improves profitability, customer experience, or operational efficiency
solving High Impact problems often involving cross functional change
building analytical and data science capabilities that drive Strategic roadmaps, Business case development, Target Operating model design
providing strategic advice to Group Executives to support the decision-making process of business challenges and opportunities
managing stakeholder relationships
communicating complex ideas effectively
ensuring compliance with regulatory requirements
identification and extraction of relevant data from various internal and external sources
performing sensitivity analysis and scenario planning
monitoring and evaluation of the performance of existing models
development and implementation of data quality control procedures
building and validation of quantitative models to support decision-making across different business areas
Requirements
Strategic Thinking: Ability to bring internal business knowledge, external environment, research and analytics together to drive strategic outcomes
Commercial Awareness: Deep understanding of value drivers across product and services and ability to link customer, operational, and financial levers to drive revenue growth, customer experience and operational efficiency
Problem Structuring: Ability to break down a complex problem into simple steps and well versed/hands on with techniques like MECE framework, Hypothesis based, 5 WHYs, 80/20, Decision Trees etc
Technical Knowhow: Ability to use Python, SQL, Excel, Tableau to transform and interpret data
Data Driven Decision Making: Ability to use analytics, generate insights that drive business outcomes
Communication & Influence: Ability to craft compelling, data backed strategic narratives for senior stakeholders. Strong PowerPoint & executive presentation skills
Stakeholder Management: Strong stakeholder alignment across Business, Tech, Risk, Compliance & other departments
People Leadership: Support and develop (head count 10+) team members
Project Leadership: Define project scopes, deliver through others, plan appropriately, manage stakeholders, and navigate the organization to achieve goals
Role Model: Exemplify organizational values and standards
Problem Solving: Handle high ambiguity, simplify complexity, navigate the issues and bring clarity
Curiosity: Stay updated on market trends, competitive shifts and innovation
Outcome oriented: Focus on impact, not activity
Challenger Mentality: Challenge the status quo without being combative
Collaborative: Lead without authority, coordinate across people and teams, Build trust
Ownership & Accountability: Treat this business as their own
Resilience & Adaptability: Iterate fast, fail fast, pivot based on the feedback
Nice to have
Expertise and practical experience of creating customer segmentation models
Practical knowledge of data warehouse and MI environments and practices
Project management and cross functional matrix leadership experience
Experience in Global bank captives data science consulting units