At a Glance
- Tasks: Lead analytics projects in customer, product, and risk areas while managing a team.
- Company: Join a leading retail banking giant known for innovation and growth.
- Benefits: Enjoy hybrid work options and competitive salary with great perks.
- Why this job: Make an impact in analytics while developing your skills in a dynamic environment.
- Qualifications: Experience in analytics and team management is essential.
- Other info: Work in a collaborative culture that values creativity and insight.
The predicted salary is between 43200 - 72000 £ per year.
A retail banking giant is seeking Senior Analytics Consultants to join the team and work on projects across customer, product & risk analytics!
As the Senior 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 also manage a team of Analytics Consultants.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - Data & Technology
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and technology, especially in the retail banking sector. This will not only help you understand the challenges the company faces but also allow you to discuss relevant solutions during your interview.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations for the Senior Analytics Consultant role.
✨Tip Number 3
Prepare to showcase your leadership skills, as managing a team of Analytics Consultants is a key part of the role. Think of examples from your past experiences where you successfully led a project or mentored others, and be ready to discuss these in detail.
✨Tip Number 4
Research the specific analytics tools and technologies that the company uses. Being knowledgeable about these tools will demonstrate your commitment and readiness to hit the ground running if you land the job.
We think you need these skills to ace Senior Consultant - Data & Technology
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Senior Analytics Consultant position. Tailor your application to highlight your relevant experience in customer, product, and risk analytics.
Highlight Leadership Experience: Since the role involves managing a team, make sure to emphasise any previous leadership or team management experience you have. Provide specific examples of how you've successfully led projects or teams in the past.
Showcase Analytical Skills: Demonstrate your cross-functional analytics expertise by including specific tools, methodologies, or frameworks you are proficient in. Mention any relevant projects where you applied these skills to achieve measurable outcomes.
Craft a Compelling Cover Letter: Write a tailored cover letter that connects your background to the job requirements. Use this opportunity to express your enthusiasm for the role and the company, and explain why you would be a great fit for their team.
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 cross-functional analytics skills.
✨Demonstrate Leadership Skills
As you'll be managing a team of Analytics Consultants, it's crucial to showcase your leadership abilities. Be ready to discuss your management style and how you've successfully led teams in the past.
✨Understand the Business Context
Research the retail banking giant and understand their business model. Familiarise yourself with their products and services, as well as current trends in the banking sector, to show your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data analytics tools and methodologies. Brush up on relevant software and frameworks, and be prepared to discuss how you've applied them in your previous roles.