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- Tasks: Transform data into actionable insights and drive business decisions.
- Company: Join Evlo, a leading consumer finance company with 15 years of innovation.
- Benefits: Enjoy competitive salary, bonuses, private healthcare, and 25 days holiday.
- Why this job: Be part of a supportive culture that values your contributions and growth.
- Qualifications: Experience in financial services and knowledge of SQL, SAS, Python, or R required.
- Other info: Three paid charity volunteering days to support causes you care about.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Insight Analyst – Make a Real Impact With Analytics That Drive Results.
Are you passionate about turning data into actionable insights? Looking for an opportunity to develop your data career in a dynamic, growing organisation? We may have the role for you! Evlo is recruiting for a Senior Data Insight Analyst that has collections or credit riskdata analyticsexperience within financial services. As an established leader in consumer finance for over 15 years, Evlo is committed to innovation, customer success, and personal development. Awarded MoneyFacts Best non-mainstream lender for the past five years, we pride ourselves on data-driven decision-making that puts our customers first and supports our continued growth.
If you are driven by curiosity and enjoy solving complex business problems, we would love to hear from you. You will benefit from professional development opportunities designed to unlock your potential.
About the Senior Data Insight Analyst Role
As a Senior Data Insight Analyst, you will play a key role in transforming data into business insights across all areas of our operations with a focus on collections initially. You will deliver analytical solutions and provide valuable data-led recommendations to stakeholders at all levels. Your contribution will ensure outstanding customer outcomes and inform strategic business decisions.
This position requires strong analytical skills, a flair for translating data into clear actions, and the ability to communicate complex information with clarity and impact. You will collaborate with cross-functional teams and influence positive change through insight and evidence.
Key Responsibilities in Data Analysis & Insight Generation
- Design, deliver and maintain accurate, timely and insightful analysis and MI to the business
- Identifying and highlighting significant trends and results from analysis and MI to drive continuous improvement across all areas of the business
- Developing and monitoring our core strategies in collections, lending and affordability
- Analysing performance and delivering actionable insights across branch network and call centre operations
- Identifying and evaluating new data-driven opportunities, including new data sources
- Engaging with operational teams and support functions to drive the effective use of analysis, MI and data to inform and influence operational and strategic decision making
- Communicating the relevance, functionality and significance of analysis and MI to less technical colleagues
- Taking on key analytical roles in projects and deputising for managers as required
This will be through:
- Analysis: reactively and proactively analysing business problems to provide explanations and solutions
- Strategy: developing and monitoring strategies across lending and collections
- MI: developing, maintaining and monitoring MI across lending and collections
Skills and Experience Essential for a Data Insight Analyst
- Previous demonstrable analytical experience within financial services
- Collections or credit riskdata analysis experience essential
- Knowledge of relevant coding languages, eg SQL, SAS, Python, R.
- Excellent communication skills: able to convey findings to technical and non-technical audiences effectively.
- Proven ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Strong problem-solving abilities and a continuous improvement mindset.
- Proactive, curious, and driven by delivering tangible results from insight.
Rewards and Benefits for Data Analysts
Competitive salary, dependent on experience.
Bonus scheme recognising your individual and team contributions.
Private healthcare and life assurance to support your wellbeing.
Excellent pension scheme, with up to 8% employer contribution.
25 days holiday plus Bank Holidays, with options to buy or sell leave days.
Cycle to Work vouchers and retail discounts.
Tech scheme for the latest technology.
Three paid charity volunteering days each year to support causes you care about.
Why Join Evlo As a Senior Data Insight Analyst?
At Evlo, we believe every team member shapes our success. We foster a diverse, inclusive, and supportive culture, with employee satisfaction at the heart of our business. You will join a collaborative, empowered analytics community, benefit from regular skills development, and help us to deliver innovative solutions that drive genuine business value. Evlo has an active Employee Forum and trained Mental Health First Aiders dedicated to wellbeing in the workplace.
Apply Now – Advance Your Career in Data Insight and Analytics
If you are ready to make a positive impact and take the next step as a Senior Data Insight Analyst, we encourage you to apply now. Your expertise could be the key to our continued growth and outstanding customer experience.
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Senior Data Insight Analyst Business Operations · Slough · employer: Everyday Loans Group
Contact Detail:
Everyday Loans Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Insight Analyst Business Operations · Slough ·
✨Tip Number 1
Familiarise yourself with the specific data tools and coding languages mentioned in the job description, such as SQL, SAS, Python, and R. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 2
Prepare examples of how you've previously turned complex data into actionable insights, particularly in the context of collections or credit risk. This will showcase your ability to solve business problems and communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 3
Research Evlo's recent projects or initiatives related to data analytics and customer success. Being knowledgeable about their current strategies will allow you to engage in meaningful discussions during the interview and demonstrate your genuine interest in the company.
✨Tip Number 4
Network with current or former employees of Evlo on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information about the company culture and expectations, which you can leverage in your application process.
We think you need these skills to ace Senior Data Insight Analyst Business Operations · Slough ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis, particularly within financial services. Emphasise your skills in collections or credit risk data analytics, and include specific examples of how you've turned data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives business decisions. Mention your curiosity and problem-solving abilities, and explain how you can contribute to Evlo's mission of customer success through data-driven insights.
Showcase Technical Skills: Clearly list your proficiency in relevant coding languages such as SQL, SAS, Python, or R. Provide examples of projects where you've used these skills to analyse data and deliver insights, demonstrating your ability to communicate complex information effectively.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, mention any previous experiences where you've collaborated with different departments. Showcase your ability to influence positive change through data insights and how you've engaged with operational teams to drive results.
How to prepare for a job interview at Everyday Loans Group
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions. Be ready to explain your thought process and the impact of your insights on previous projects.
✨Familiarise Yourself with Relevant Tools
Make sure you are comfortable discussing coding languages like SQL, SAS, Python, or R. If you have experience with any of these, be prepared to share how you've applied them in your previous roles.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The ability to convey insights to both technical and non-technical audiences is crucial, so think of ways to demonstrate this skill during the interview.
✨Demonstrate a Continuous Improvement Mindset
Be ready to discuss how you've identified opportunities for improvement in past roles. Highlight your proactive approach to problem-solving and how it has led to tangible results in your work.
