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- Tasks: Kickstart your analytics career by bridging data and business insights.
- Company: Join a leading financial services firm with a strong graduate development culture.
- Benefits: Enjoy a competitive salary, hybrid working, and structured training in Python and Power BI.
- Other info: Dynamic, young office culture with excellent long-term career progression.
- 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.
Key responsibilities include:
- 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 is preferred, with Python being the preferred language. Comfortable working with data, uncertainty, and ambiguity. Logical thinking is prioritised over advanced coding - coding can be taught, logic is harder to train.
Requirements:
- 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 includes structured training in Python and Power BI. Hybrid working is currently 2 days per week in office with no fixed days - flexible. The office is young and social with many graduates and junior analysts, and many choose to come into the office more than required. There may be occasional fully-expensed travel to a second UK office (roughly quarterly, usually social).
This is a strong, recognisable financial services organisation with a genuine graduate development culture and clear long-term career opportunities.
Insight Analyst Graduate 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 Insight Analyst Graduate 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 about the company culture and even lead to referrals.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your analytical thinking and coding abilities. This can be a great conversation starter during interviews and shows you're proactive.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and Power BI skills before the interview. There are loads of free resources online, and being confident in these tools will definitely impress the hiring team.
✨Tip Number 4
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 awesome team at StudySmarter.
We think you need these skills to ace Insight Analyst Graduate in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Insight Analyst role. Highlight any relevant experience, especially with data manipulation and coding in Python. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and how you can contribute to our Retail Pricing & Analytics function. Keep it engaging and personal!
Showcase Problem-Solving Skills: We love seeing examples of how you've tackled problems in the past. Whether it's from internships or academic projects, share specific instances where you used logical thinking to derive insights from data.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data
Before the interview, brush up on your understanding of data analytics concepts. Familiarise yourself with how data drives decision-making in financial services. Be ready to discuss how you would approach a business question and break it down logically.
✨Showcase Your Coding Skills
Even if you're not a coding expert yet, demonstrate your willingness to learn. Bring examples of any coding you've done, especially in Python. If you’ve worked on projects or internships, be prepared to explain how you approached problem-solving using code.
✨Understand Power BI's Role
While most of your work won't be in Power BI, it's crucial to understand its purpose in storytelling with data. Be ready to discuss how you would use Power BI to communicate insights effectively, even if you haven't used it extensively before.
✨Emphasise Logical Thinking
Highlight your logical thinking skills during the interview. Share examples where you've had to navigate uncertainty or ambiguity in data. Remember, they value logic over advanced coding skills, so make sure to convey your analytical mindset.