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- Tasks: Join as an Analytics Consultant, working on customer, product, and risk analytics projects.
- Company: Be part of a leading retail banking giant with a strong market presence.
- Benefits: Enjoy a competitive salary of £65,000-£75,000 and hybrid work options.
- Why this job: This role offers diverse projects and the chance to collaborate with various business units.
- Qualifications: Strong experience in customer/insight/product analytics and stakeholder management is essential.
- Other info: Work in a hybrid model, spending 2 days a week in the office.
The predicted salary is between 55000 - 75000 £ per year.
A retail banking giant is seeking Analytics Consultants to join the team and work on projects across customer, product & risk analytics!
As the Analytics Consultant, you will use your cross-functional analytics expertise to support different business units. You will get the opportunity to work across projects in the customer/insight analytics, product & credit risk space. You will be comfortable being a technical analytics SME and also comfortable working with cross-functional stakeholders across the bank!
YOUR SKILLS AND EXPERIENCE
- Strong experience in the customer/insight/product analytics space
- Strong stakeholder management / engagement experience
THE BENEFITS
£65,000-£75,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
Analytics Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in customer and product analytics. Being able to discuss current methodologies and tools during your interview will show that you're not only knowledgeable but also passionate about the field.
✨Tip Number 2
Prepare examples of past projects where you've successfully engaged with stakeholders. Highlighting your experience in managing cross-functional relationships will demonstrate your ability to thrive in a collaborative environment.
✨Tip Number 3
Research the retail banking sector and understand the specific challenges it faces regarding analytics. This knowledge will help you tailor your discussions and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Network with professionals in the analytics space, especially those who work in banking. Engaging with industry peers can provide insights and potentially valuable connections that may help you stand out during the application process.
We think you need these skills to ace Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in customer, product, and risk analytics. Use specific examples that demonstrate your skills and achievements in these areas to catch the employer's attention.
Showcase Stakeholder Management: Since strong stakeholder management is crucial for this role, include instances where you've successfully engaged with cross-functional teams. Describe your approach and the outcomes of those interactions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role. Mention why you are interested in working for a retail banking giant and how you can contribute to their analytics projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨Showcase Your Analytics Expertise
Make sure to highlight your experience in customer, product, and risk analytics. Prepare specific examples of projects you've worked on that demonstrate your technical skills and how they contributed to business outcomes.
✨Engage with Stakeholders
Since the role involves working with cross-functional stakeholders, be ready to discuss how you've successfully managed stakeholder relationships in the past. Share examples of how you’ve communicated complex analytics insights to non-technical audiences.
✨Prepare for Technical Questions
Expect to face technical questions related to analytics tools and methodologies. Brush up on relevant software and techniques, and be prepared to explain your thought process when solving analytical problems.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you approach problem-solving in analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your ability to tackle challenges effectively.
