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For Companies At a Glance
- Tasks: Join a dynamic team providing analytics support across various departments in a retail bank.
- Company: Be part of a global analytics team within a leading retail bank.
- Benefits: Enjoy a hybrid work model with only 2 days in the office.
- Why this job: Gain diverse experience in data science, customer analytics, and product insights.
- Qualifications: Strong SQL and Python skills are essential, along with stakeholder engagement experience.
- Other info: This role is ideal for those who thrive in fast-paced consultancy environments.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Analytics Consultant
Northampton (Hybrid – 2x Days a Week in Office)
£65,000-£75,000
THE COMPANY
A retail banking giant is seeking Analytics Consultants to join the team and work on projects across customer, product & risk analytics!
THE ROLE
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
Familiarize yourself with the latest trends in data analytics and retail banking. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to the company's goals during the interview.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare specific examples from your past experiences where you've successfully used SQL and Python to drive insights. Being able to articulate these examples clearly will demonstrate your technical proficiency and problem-solving abilities.
✨Tip Number 4
Research the key stakeholders within the organization and understand their roles. This will help you tailor your discussions during interviews, showing that you are proactive and genuinely interested in how you can support various departments.
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 with SQL and Python, as well as any relevant analytics projects. Emphasize your ability to deliver commercial impact through insights.
Showcase Stakeholder Engagement: In your application, provide examples of how you've successfully engaged with stakeholders in previous roles. This will demonstrate your ability to work in a consultancy environment.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Analytics Consultant role and how your skills align with the company's needs. Mention your passion for data science and customer analytics.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your strong SQL and Python experience during the interview. Be prepared to discuss specific projects where you utilized these skills to deliver insights or solve problems.
✨Demonstrate Stakeholder Engagement
Since this role involves strong stakeholder engagement, come prepared with examples of how you've successfully collaborated with different departments or teams in previous roles. This will show your ability to work in a consultancy environment.
✨Prepare for Diverse Topics
The role covers various areas like data science, customer analytics, and risk. Brush up on these topics and be ready to discuss how your experience aligns with them. This will demonstrate your versatility and readiness for the role.
✨Emphasize Commercial Impact
Be ready to share examples of how your analytical insights have led to commercial impact in past positions. This will help illustrate your value as an Analytics Consultant and your understanding of the business side of analytics.
