Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and solve complex business problems using Python and Power BI.
- Company: Established financial services organisation with a strong focus on analytics.
- Benefits: Competitive salary, hybrid working, structured training, and career progression.
- Other info: Dynamic team culture with opportunities for social events and networking.
- Why this job: Kickstart your analytics career in a supportive, graduate-friendly environment.
- Qualifications: Degree in a numerical subject and some coding experience preferred.
The predicted salary is between 30000 - 30000 £ per year.
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
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
- 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
Graduate Insights Analyst in Manchester employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Insights Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data analytics. We recommend using the STAR method to structure your answers – it helps you showcase your problem-solving skills effectively.
✨Tip Number 3
Showcase your coding skills! If you've done any projects in Python or worked with data, be ready to discuss them. We love seeing how you approach problems and the logic behind your solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Graduate Insights Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Graduate Insights Analyst role. Highlight any relevant coursework, projects, or internships that showcase your analytical abilities and coding experience.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about analytics and how your background makes you a great fit for our team. Be sure to mention specific aspects of the job description that excite you!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We want to see your logical reasoning and how you approach challenges, not just your coding skills.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. This way, we can easily track your application and get back to you quickly!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Understand the Role
Before your interview, make sure you thoroughly understand the Graduate Insights Analyst role. Familiarise yourself with the key responsibilities, especially around data manipulation and coding in Python. This will help you articulate how your skills align with what they’re looking for.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've approached complex problems in the past. They value logical reasoning over advanced coding skills, so focus on explaining your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Brush Up on Your Coding Knowledge
While they’re not expecting you to be a coding expert, having a solid understanding of Python and its applications in data analysis is crucial. Review any relevant projects or coursework where you’ve used coding to solve problems, and be ready to discuss them in detail.
✨Engage with the Team Culture
Since the company has a strong graduate culture, show your enthusiasm for collaboration and learning from others. Be prepared to discuss how you can contribute to a supportive team environment and express your eagerness to grow within the organisation.