Senior Decision Intelligence Analyst
Workday
full-time
Posted on:
Location Type: Office
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
PythonSQLTableau
About the role
- Provide independent and balanced advice and counsel to senior stakeholders through problem identification, solving and decision making practices
- Provision of strategic advice to Group Executives to support decision-making of business challenges and opportunities
- Develop and implement strategic advisory incentives to grow and optimise the bank’s operations through market research and analysis
- Collaborate with various stakeholder groups to identify appropriate strategic direction to meet needs of Barclays clients and investors
- Develop financial models to support strategic recommendations and transactions, including financial data analysis and considering financial impact of transactions
- Manage transactions, negotiations, transaction structure development and post-transaction integration
- Maintain and develop client relationships and identify new opportunities with internal stakeholders
- Identify industry trends, maintain peer benchmarking and keep up with developments by attending conferences, participating in training and conducting market research
- Extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders
- Lead or guide teams on complex tasks, set objectives, coach employees and contribute to policy development and operational effectiveness
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
- Experience at a large Consulting firm (preferably Analytics consulting) (highly valued)
- Experience in the financial services industry (highly valued)
- Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) (highly valued)
- 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.)
- May be assessed on risk and controls, change and transformation, business acumen, strategic thinking and digital and technology
Benefits
- Work Experience: culture and core values
- Company meetings
- Commitment to sustainability
- Recognition programs
- Employer branding as a top workplace
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
analyticsdata sciencefinancial modelingdata interpretationdata visualizationmachine learningAI applicationsprogramming languagesPythonSQL
Soft skills
analytical thinkingproblem-solvingstakeholder managementcommunicationcollaborationmentoringstrategic thinkingcoachingdecision makingpolicy development