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- Tasks: Analyse data to improve customer journeys and business performance.
- Company: Join a dynamic team focused on strategy and insights in a thriving organisation.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Make a real impact through data analysis while developing your skills in a supportive environment.
- Qualifications: Numerical degree preferred; knowledge of Python, SQL, and statistical analysis is essential.
- Other info: Be part of a team that values creativity, resilience, and effective communication.
The predicted salary is between 36000 - 60000 £ per year.
Are you highly numerate? Are you inquisitive and creative in finding solutions? Do you have knowledge of either SQL, Python or SAS? If you’ve answered yes, then you could be the right person to join the Strategy & Insight team at Cabot Financial, at our Kings Hill office, ME19 4UA!
What you can expect as a Insight Analyst:
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Salary of up to £40,000
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Permanent
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Hybrid working
Not only are we offering a competitive salary and a fantastic bonus scheme, you’ll also be entitled to loads of great benefits including, discount and cash back on hundreds of high-street shops and private health insurance, plus much more.
In this role, you’ll play a key part in driving data-led decision making. This role focuses on analysing portfolio performance, customer behaviour, and process effectiveness to uncover insights that shape our customer journey. You\’ll work with large datasets using tools like Python, SQL, and Excel, support test-and-learn initiatives, and develop prototype reports to monitor key metrics. Collaborating closely with the Insight Manager and wider teams, you\’ll help turn data into actionable recommendations that influence strategy and improve outcomes across the business.
We are looking for someone with:
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Numerical degree with a strong statistical content preferred. Statistics, Mathematics, Operational Research an advantage.
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Technical Certification in interrogation software preferred (Python, SQL, SAS, VBA)
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Knowledge of statistical analysis
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Preferred knowledge of coding languages such as Python/SQL/SAS
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Thorough and methodical: strong attention to detail, employing own quality assurance techniques
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Self starting: ability to maintain high productivity ensuring all deadlines are met
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Strong communicator: ability to convey complex technical content in an easily digestible manner
What happens next?
If this sounds like you and you’d like to join our people focused company, then apply now!
Working for Cabot:
You’ll be working for an award winning; Investors in People Gold accredited organisation. We’re passionate about the ethical treatment of our customers and employees. Our mission is to create pathways to economic freedom. Our vision is to make credit accessible by partnering with our consumers to restore their financial health.
Diversity and inclusion are very important to us at Cabot, and we value a multitude of diverse talent within our business. We want everyone to be themselves at work and encourage a culture that includes everyone. Our policies ensure that every candidate and employee are treated fairly and with equal opportunities.
**At Cabot we are highly regulated by our clients, as such, any successful candidates will have to undergo a basic credit check and criminal background check. Please note that we are unable to proceed to interview stage if a CCJ, IVA or Bankruptcy appears on a credit file, or if you do not have full right to work in the UK – we are unfortunately unable to offer sponsorship.
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Insight Analyst employer: Encore Capital Group
Contact Detail:
Encore Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst
✨Tip Number 1
Familiarise yourself with the key tools mentioned in the job description, such as Python and SQL. Consider working on personal projects or contributing to open-source projects that showcase your skills in data manipulation and analysis.
✨Tip Number 2
Network with professionals in the Insight and Analytics field. Attend industry meetups or webinars where you can connect with current Insight Analysts or hiring managers, which could give you valuable insights into the role and the company culture.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive business decisions. Think about past projects where you analysed customer behaviour or improved processes, as these will resonate well with the responsibilities outlined in the job description.
✨Tip Number 4
Stay updated on the latest trends in data analytics and customer behaviour. Reading relevant articles or case studies can help you speak knowledgeably during interviews and demonstrate your passion for the field.
We think you need these skills to ace Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Insight Analyst role. Emphasise your analytical abilities, familiarity with Python, SQL, and any statistical analysis you've conducted.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in data analysis and your understanding of customer behaviour can contribute to the Insight Team's objectives.
Showcase Relevant Projects: If you have worked on projects involving data interrogation or statistical analysis, be sure to include these in your application. Describe your role, the tools you used, and the outcomes achieved to demonstrate your capabilities.
Highlight Soft Skills: The job requires strong communication and project management skills. Use your application to illustrate how you've effectively communicated complex data insights in previous roles and how you manage your time and priorities.
How to prepare for a job interview at Encore Capital Group
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with statistical analysis and data manipulation. Highlight specific projects where you've used Python, SQL, or Excel to derive insights, as this will demonstrate your technical capabilities.
✨Understand the Business Context
Research the company’s portfolio and customer journey. Being able to relate your analytical skills to their business objectives will show that you are commercially minded and understand how your role contributes to overall success.
✨Prepare for Technical Questions
Expect questions that assess your knowledge of coding languages and statistical methods. Brush up on key concepts in Python and SQL, and be ready to explain how you've applied these in real-world scenarios.
✨Communicate Clearly and Effectively
Practice explaining complex data findings in a simple manner. The ability to convey technical content clearly is crucial, so consider using examples from your past experiences to illustrate your points during the interview.
