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- Tasks: Support the Product Manager with data-driven business modelling and forecasting.
- Company: Join a leading banking firm with a focus on innovation and growth.
- Benefits: Hybrid work model, competitive pay, and valuable industry experience.
- Why this job: Make an impact in banking by leveraging your data skills for real-world applications.
- Qualifications: Experience in banking, strong SQL skills, and excellent communication abilities.
- Other info: Contract role with opportunities for professional development and networking.
The predicted salary is between 36000 - 60000 £ per year.
Location: Halifax/Leeds/Manchester (Hybrid min 2/3 days work from the office)
Type: Contractor inside IR35 for 6-8 months
Product analyst with past banking experience ideally within Debit payments/Personal Current Accounts.
- Support the Product Manager with any business modelling, forecasting, what-if scenarios led by data.
- Knowledge of banking profitability and how to create a business case.
- Strong on data mining and manipulation from databases using SQL, GCP etc.
- Able to do analytics for Customer profiling/segmentation, propensity modelling.
- Strong data practices on coding, data validation.
- Confident speaker for presentation and stakeholder management.
- Technical knowledge of SQL, GCP and high coding standards.
Product/Data Analyst with Commercial Awareness employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product/Data Analyst with Commercial Awareness
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data analysis sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving SQL and data manipulation. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and commercial awareness. Mock interviews with friends can help you nail it.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Product/Data Analyst with Commercial Awareness
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product/Data Analyst role. Highlight your banking experience, especially in debit payments and personal current accounts, as well as any relevant data skills like SQL and GCP. We want to see how your past experiences align with what we're looking for!
Show Off Your Data Skills: When writing your application, don’t hold back on showcasing your data mining and manipulation skills. Mention specific projects where you’ve used SQL or GCP to solve problems or create business cases. We love seeing how you can turn data into actionable insights!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a straightforward approach that highlights your key achievements and skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Data Inside Out
Make sure you brush up on your SQL and GCP skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in banking. Prepare examples of how you've manipulated data for customer profiling or segmentation.
✨Understand the Business Context
Since this role requires commercial awareness, do your homework on the banking sector, particularly around debit payments and personal current accounts. Be prepared to discuss how your analytical work can impact profitability and support business cases.
✨Practice Your Presentation Skills
You'll need to communicate your findings effectively, so practice presenting your data insights clearly and confidently. Think about how you can explain complex data concepts to stakeholders who may not have a technical background.
✨Prepare for Scenario Questions
Expect 'what-if' scenario questions that test your analytical thinking. Think through potential business modelling or forecasting scenarios you might encounter in the role, and be ready to walk through your thought process and the data-driven decisions you'd make.
