This is an excellent opportunity to start your analytics career within a large, well‑established financial services organisation that has invested heavily in its data and analytics capability. Data sits at the heart of decision‑making, and the business has a strong track record of developing analysts from graduate level through to senior roles.
The team sits within a newly formed Retail Pricing & Analytics function, which is growing and evolving. Once fully staffed, the wider analytics group will be around 20 people, offering strong peer support, mentoring, and long‑term progression.
Manchester – Hybrid (2 days in office, moving to 3 by end of year)
Salary: £30,000
Where you’ll sit
- Part of a Retail Pricing & Analytics function
- Embedded in one of four core Retail teams:
- Risk & regulatory reporting
- Service / operations & complaints
- Claims data & insight
- Performance / trading analytics
- Working closely with senior analysts, managers, and an advanced analytics function (data science–led)
- A team with a strong graduate culture — many current senior analysts and managers started as graduates here
The role
The Graduate Insight Analyst acts as a bridge between the Data function and the wider business.
Most of your work will be outside of Power BI. The focus is on understanding business questions, breaking them down logically, preparing and structuring data, and writing code to reach a solution. Power BI is then used to tell the story rather than do all the heavy lifting.
What you’ll be doing
- Working with business stakeholders to understand reporting and insight needs
- Breaking down ambiguous or complex problems into clear, logical steps
- Manipulating and preparing data using Python (Databricks environment)
- Working within existing DevOps code repositories
- Contributing to a trusted “gold layer” of standardised data
- Producing insight that feeds into Power BI dashboards
- Partnering closely with senior analysts and managers for learning and development
What they’re looking for
Core requirements (critical)
- Strong logical reasoning and problem‑solving skills
- Degree in a numerical or analytical subject, such as:
- Maths
- Physics
- Engineering
- Economics
- Similar disciplines
- Some exposure to coding or statistics:
- Python preferred
- R or MATLAB acceptable from degree work
- Ability to explain how you would approach a problem, not just write code
- Comfortable working with data, uncertainty, and ambiguity
Logical thinking is prioritised over advanced coding — coding can be taught, logic is harder to train.
Nice to have
- Internships, placements, or relevant work experience
- Experience working with multiple datasets
- Examples of academic or commercial problem‑solving
What success looks like
In the first few months, you’ll be able to:
- Take simple business requests and understand the data behind them
- Begin building coding solutions with support from senior team members
- Use Power BI to communicate insight clearly
- Show steady improvement in:
- logical thinking
- coding confidence
- business understanding
Training & development
- Structured training in Python and Power BI
- On‑the‑job domain learning
- Buddy system within the team
- Access to certifications and learning resources
- Demonstrated, realistic progression paths
Location & culture
- Manchester‑based role
- Hybrid working:
- Currently 2 days per week in office
- Moving to 3 days by end of year
- No fixed days — flexible
- Young, social office with many graduates and junior analysts
- Many choose to come into the office more than required
- Occasional fully‑expensed travel to a second UK office (roughly quarterly, usually social)
Why apply
- Strong, recognisable financial services organisation
- Genuine graduate development culture
- Managers who progressed internally
- Analytics role focused on thinking and problem‑solving, not just dashboards
- Collaborative, supportive team environment
- Clear long‑term career opportunities