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- Tasks: Kickstart your analytics career by bridging data and business insights.
- Company: Join a leading financial services organisation with a strong graduate culture.
- Benefits: Enjoy a competitive salary, hybrid working, and structured training in Python and Power BI.
- Other info: Dynamic office culture with many graduates and clear career progression opportunities.
- Why this job: Make an impact in a growing team while developing your skills in a supportive environment.
- Qualifications: Some coding or statistics experience; logical thinking is key.
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
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 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.
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.
Some exposure to coding or statistics:
- Python preferred
- Comfortable working with data, uncertainty, and ambiguity
- Logical thinking is prioritised over advanced coding - coding can be taught, logic is harder to train.
Internships, placements, or relevant work experience. Examples of academic or commercial problem-solving. 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. Coding confidence.
Training & development: Structured training in Python and Power BI.
Hybrid working: Currently 2 days per week in office. 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).
Strong, recognisable financial services organisation. Genuine graduate development culture. Clear long-term career opportunities.
Graduate Retail 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 Retail Insights Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current analysts or alumni from your university who work in similar roles. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your analytical abilities, especially using Python. This will not only impress interviewers but also demonstrate your proactive approach.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and coding. Mock interviews with friends or mentors can help you articulate your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Graduate Retail 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 Retail Insights Analyst role. Highlight any relevant internships or projects, especially those involving data manipulation or coding in Python.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your logical thinking can contribute to our team. Don’t forget to mention your interest in working with data and problem-solving.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled business problems in the past. Whether it's through academic projects or work experience, demonstrating your analytical mindset will set you apart from the crowd.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data
Before the interview, brush up on your data manipulation skills, especially in Python. Familiarise yourself with how to prepare and structure data, as well as how to break down business questions logically. This will show that you understand the core responsibilities of the Graduate Retail Insights Analyst role.
✨Showcase Your Problem-Solving Skills
Be ready to discuss examples from your academic or work experience where you've tackled complex problems. Highlight how you approached these challenges, the logic you used, and the outcomes. This will demonstrate your analytical thinking and ability to handle ambiguity.
✨Familiarise Yourself with Power BI
While most of your work won't be in Power BI, it's essential to understand how to use it effectively to communicate insights. Prepare to discuss how you would present data visually and tell a compelling story with the information you gather.
✨Embrace the Graduate Culture
Since the team has a strong graduate culture, be prepared to talk about your experiences working in teams and how you can contribute to a supportive environment. Show enthusiasm for learning and growing within the company, as this aligns with their focus on developing analysts from graduate level.