Graduate Insights Analyst

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 forCore 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