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For Companies At a Glance
- Tasks: Advise executives, develop financial models, and lead market research to shape strategy.
- Company: Join a prestigious national banking organisation with a focus on strategic advisory.
- Benefits: Hybrid work model, excellent career progression, and opportunities for professional growth.
- Why this job: Make impactful decisions and drive business strategies in a dynamic environment.
- Qualifications: Strong data analysis skills, proficiency in Python, SQL, and experience in strategy development.
- Other info: Collaborative culture with opportunities to influence senior decision-makers.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a large national banking organisation, is seeking a sharp, commercially minded Data Strategy Analyst to join their Strategic Advisory team. This is a high-impact role where you'll provide independent counsel to senior stakeholders, shape strategic direction, and drive business-critical decisions across the bank.
Responsibilities:
- Advise Group Executives on strategic challenges and opportunities
- Develop financial models to support recommendations and transactions
- Lead market research and peer benchmarking to inform strategy
- Manage deal structuring, negotiations, and post-transaction integration
- Collaborate across teams to identify growth and optimisation initiatives
- Maintain and build client relationships to uncover new opportunities
What We’re Looking For:
- Strong background in data analysis, data processing, data modeling, with excellent mathematical and problem-solving skills
- A background in commercial optimisation analytics
- Proficiency in Python, PySpark and SQL for data extraction, transformation, and analysis
- Expertise in data-driven storage solutions and handling large, complex datasets
- Good understanding of classical statistics, with the ability to apply statistical inference and established methods effectively
- Strong experience in strategy development, financial analysis, and stakeholder management
- Advanced communication and presentation skills
- Proven ability to manage complex projects and influence senior decision-makers
- Familiarity with market trends, digital transformation, and risk frameworks
Locations: London, Northampton, Manchester or Glasgow
Hybrid: 2 days per week in the office
This is a chance to join a prestigious financial organisation with excellent career progression opportunities. Please apply with your CV in the first instance.
Data Strategy Consultant employer: Marshall Wolfe
Contact Detail:
Marshall Wolfe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Strategy Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the bank. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. We want you to showcase your experience with data analysis and strategy development in a way that resonates with the interviewers. Make it relatable!
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or case studies, bring them along to interviews. Demonstrating your proficiency in Python, SQL, and data modelling can really impress the hiring team.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in their minds and show your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit.
We think you need these skills to ace Data Strategy Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Strategy Consultant. Highlight your experience in data analysis, financial modelling, and stakeholder management. We want to see how your skills align with what our client is looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples where you’ve used Python, SQL, or any other relevant tools to solve problems or drive decisions. This will help us see your practical experience in action.
Keep It Clear and Concise: We love a well-structured application! Keep your language clear and avoid jargon unless it’s necessary. Make it easy for us to understand your achievements and how they relate to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Marshall Wolfe
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in Python, PySpark, and SQL. Be ready to discuss how you've used these tools in past projects, as well as any financial models you've developed. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Understand the Business Landscape
Research the banking sector and the specific challenges your potential employer faces. Familiarise yourself with current market trends and digital transformation initiatives. This knowledge will help you provide insightful advice during the interview and demonstrate your commercial acumen.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or case studies related to data strategy. Practice structuring your answers clearly, focusing on your thought process and the steps you would take to advise senior stakeholders. This will showcase your strategic thinking and problem-solving abilities.
✨Showcase Your Communication Skills
As a Data Strategy Consultant, you'll need to communicate complex ideas simply. Prepare to present your past work or a mock presentation during the interview. Highlight your ability to influence decision-makers and maintain client relationships, as this is crucial for the role.
