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- Tasks: Lead data-driven projects, transforming insights into impactful business decisions.
- Company: Fractal, a strategic AI partner for Fortune 500 companies, values imagination and diversity.
- Benefits: Competitive salary, recognition as a great workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team where your analytical skills can drive real change in retail banking.
- Qualifications: Strong technical expertise in analytics and experience in financial services required.
- Other info: Fast-paced environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
It’s fun to work in a company where people truly BELIEVE in what they are doing.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.
We are seeking a highly driven senior consultant/analyst with strong hands-on technical expertise and solid Financial Services and banking domain experience. This role requires end-to-end ownership of data-driven initiatives, from data extraction through advanced analytics, insight generation, and stakeholder presentation. The successful candidate will operate at pace, influence decision-making, and translate data into actionable commercial outcomes—driving increased wallet share, growing market share, and designing and delivering intuitive self-serve dashboards for business users.
Roles and Responsibilities:
- Lead and manage end-to-end analytical projects, including brainstorming, solution design, analytical approach, scoping, timelines, delivery, and transition based on business and client requirements.
- Perform advanced data mining, manipulation, and transformation using internal and external data sources.
- Conduct reconciliation, data validation, and quality checks as standard practice using appropriate internal and external data sources.
- Identify and define key data points and metrics required to support analytical objectives.
- Deliver customer profiling, segmentation, and conversion analysis to support marketing and commercial initiatives.
- Design, execute, and evaluate marketing campaigns, including target audience selection, proposition design, testing frameworks (A/B, multivariate testing), and measurement of results with statistical significance.
- Develop business reporting and data visualisations to clearly communicate insights and performance.
- Apply predictive, performance, and profitability analytics to support business cases and decision-making.
- Demonstrate understanding of banking profitability, including revenue, cost drivers, and value measurement.
Senior Analyst in Manchester employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you show them that you're not just a fit for the role, but for the team too!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past experiences that highlight your skills and achievements. This makes you memorable and shows how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior Analyst in Manchester
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through. We want to see that you truly believe in what you're doing and how you can contribute to our mission at Fractal.
Tailor Your CV: Make sure to customise your CV to highlight your relevant experience in financial services and data analytics. We love seeing how your skills align with the responsibilities of the Senior Analyst role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. Avoid jargon unless it’s necessary!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fractal
✨Know Your Data Inside Out
As a Senior Analyst, you'll be expected to handle data like a pro. Brush up on your data extraction and manipulation skills before the interview. Be ready to discuss specific tools and techniques you've used in past projects, as well as how you’ve turned raw data into actionable insights.
✨Showcase Your Analytical Projects
Prepare to talk about your previous analytical projects in detail. Highlight your role in leading these projects, the challenges you faced, and how you overcame them. Use examples that demonstrate your ability to influence decision-making and deliver results that align with business objectives.
✨Understand the Banking Landscape
Familiarise yourself with current trends and challenges in the retail banking sector. Being able to discuss how your skills can address these issues will show that you’re not just technically savvy but also understand the industry context. This knowledge can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of situations where you had to design a solution or make a decision based on data analysis. Practising these scenarios will help you articulate your thought process clearly and demonstrate your analytical mindset.
