Description
As a Decision Analyst at Barclays, you will extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments.
Accountabilities:
- Identify and extract relevant data from various internal and external sources.
- Perform sensitivity analysis and scenario planning.
- Monitor and evaluate the performance of existing models.
- Develop and implement data quality control procedures.
- Build and validate quantitative models to support decision-making across different business areas.
Analyst Expectations:
- Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
- Require in-depth technical knowledge and experience in your assigned area of expertise.
- Demonstrate thorough understanding of the underlying principles and concepts within your area of expertise.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
- Develop technical expertise in your work area, acting as an advisor where appropriate.
- Partner with other functions and business areas.
- Take responsibility for end results of a team's operational processing and activities.
- Escalate breaches of policies/procedures appropriately.
- Advise and influence decision-making within your area of expertise.
- Maintain and continually build an understanding of how your sub-function integrates with the function, alongside knowledge of the organisation's products, services, and processes within the function.
Requirements:
- Experience with synthesizing business knowledge, market research, and analytics to drive strategic outcomes.
- Understanding of value drivers across products and services, linking customer, operational, and financial levers.
- Familiarity with frameworks such as MECE, hypothesis-driven approaches, 5 WHYs, 80/20, and decision trees.
- Proficiency in Python, SQL, Excel, and Tableau to transform data into actionable insights.
- Ability to generate insights that drive measurable business outcomes.
- Strong communication and storytelling skills.
Desirable skills:
- AI awareness/adoption.
- Problem-solving skills and strategic thinking.