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For Companies 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, competitive salary, and great corporate perks.
- Why this job: Make an impact with your analytics skills in a dynamic and supportive environment.
- Qualifications: Experience in analytics and team management is essential.
- Other info: Work in a vibrant city like Glasgow with a focus on collaboration.
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.
Senior Consultant - Data & Technology employer: Harnham
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 banking sector. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals already working in analytics roles within the banking industry. Attend relevant meetups or webinars to gain insights and potentially get referrals that could boost your application.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied your analytics expertise. Be ready to explain your thought process, the tools you used, and the impact of your work on the business outcomes.
✨Tip Number 4
Showcase your leadership skills by discussing any experience you have in managing teams or projects. Highlight how you’ve mentored others or led initiatives that improved analytics processes, as this is crucial for the Senior Consultant role.
We think you need these skills to ace Senior Consultant - Data & Technology
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Senior Consultant - Data & Technology position. Understand the key responsibilities and required skills, especially in customer, product, and risk analytics.
Tailor Your CV: Customise your CV to highlight relevant experience in analytics, particularly in managing teams and working on cross-functional projects. Use specific examples that demonstrate your expertise in customer insights and risk analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and technology. Mention how your background aligns with the company's goals and how you can contribute to their analytics projects.
Highlight Leadership Experience: Since the role involves managing a team, emphasise any previous leadership or mentoring experiences. Provide examples of how you've successfully led projects or teams in the past.
How to prepare for a job interview at Harnham
✨Showcase Your Analytics Expertise
Be prepared to discuss your experience with cross-functional analytics. Highlight specific projects where you've successfully applied your skills in customer, product, or risk analytics, as this will demonstrate your fit for the role.
✨Demonstrate Leadership Skills
Since you'll be managing a team of Analytics Consultants, it's crucial to showcase your leadership abilities. Share examples of how you've led teams in the past, resolved conflicts, or mentored junior staff to illustrate your capability in this area.
✨Understand the Business Context
Research the retail banking giant and understand their business model, challenges, and recent developments. This knowledge will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to data analysis tools and methodologies. Brush up on relevant software and frameworks, and be ready to discuss how you've used them in previous roles to solve complex problems.
