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For Companies At a Glance
- 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.
Job Purpose
The candidate for this role is a commercially minded analyst looking to join the Insight Team within the broader Strategy & Insights Department.
Our Insight Analysts are focused on delivering analysis of portfolio performance, customer behaviour and process effectiveness to understand the drivers of business performance and to support the Insight Manager in making recommendations to the Senior Management Team to develop the Customer Journey through data and analysis.
Key Accountabilities & Responsibilities
- Project based delivery of statistical and empirical analytics.
- Data warehouse / cloud based data interrogation, extraction, collection, and manipulation using Python, SQL and Excel.
- Support the delivery of a Test and Learn environment for Collections Strategy providing effective measurement of trials using pre-agreed key performance indicators.
- Development of prototype reports to monitor portfolio performance, customer behaviour and process effectiveness.
- Employment of appropriate quality assurance techniques to ensure accuracy and validity of results.
- Provide peer review support to ensure the accuracy of analysis delivered by other members of the Insight group.
- Be a subject matter expert on data, operational analysis and customer behaviour. Identification and communication of improvements to data and business processes.
- Clear project planning and management to ensure work is prioritised and agreed deadlines met.
- Monitoring of impact of recommendations made to the business following their implementation.
- Work with other teams and departments to ensure results are accurate, understanding is correct, and resulting actions are implemented correctly across the business.
- Contribute to the development of tools and techniques through both qualitative and quantitative methods to better understand
- Customer Preference
- Customer Propensity to Pay
- Customer Affluency through both asset wealth and cash wealth
- Customer engagement through a Omni-Channel strategy
- Customer situational circumstances
Key working relationships & Communications
- Decision Science & Analytics Department colleagues
- Operations – Collections, Trace, Legal, and Support Operations teams
- Finance
- IT – Systems & Data
- Compliance
Person Specification:
Formal Education & Certification
- Numerical degree with a strong statistical content preferred. Statistics, Mathematics, Operational Research an advantage.
- Technical Certification in interrogation software preferred (Python, SQL, SAS, VBA)
Knowledge & Experience
- Knowledge of statistical analysis
- Preferred knowledge of coding languages such as Python/SQL/SAS
Personal Attributes
- Highly numerate
- Investigative: actively seeking to expand knowledge and understanding
- Thorough and methodical: strong attention to detail, employing own quality assurance techniques
- Self starting: ability to maintain high productivity ensuring all deadlines are met
- Strong communicator: ability to convey complex technical content in an easily digestible manner
- Creative and resilient: taking responsibility to find solutions to overcome obstacles
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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.
