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- Tasks: Analyse data to boost business performance and create insightful reports.
- Company: Join a reputable fintech known for ethical lending and customer support.
- Benefits: Enjoy flexible working, generous holidays, and a collaborative culture.
- Why this job: Make a real impact in a supportive environment while developing your data skills.
- Qualifications: 3+ years as a Data Analyst with Python, SQL, and Excel experience required.
- Other info: Remote work options available; apply directly via email or online.
The predicted salary is between 36000 - 54000 £ per year.
Direct message the job poster from Searchability Empowering Women in the Workplace | Helping you tackle diversity in Data & Analytics DATA ANALYST Opportunity for a Data Analyst to join a up and coming fintech in Nottingham Salary up to £45,000 + fantastic benefits including a generous holiday allowance, collaborative working culture, flexible and remote working and much more Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHO ARE WE? We’re a well-established UK based direct lender with a strong reputation for supporting people through life’s unexpected financial moments. For over a decade, our team has been dedicated to offering fair, transparent, and responsible lending. We pride ourselves on our ethical approach, taking the time to assess each customer’s needs individually, no one-size-fits-all. If you’re looking to join a supportive, customer-focused company where your work genuinely makes a difference, we’d love to hear from you. WHAT WILL YOU BE DOING? You will leverage data from diverse sources to enhance business performance, optimise efficiency, and maximise ROI. Monitor key customer KPIs to inform acquisition and retention strategies through A/B testing and actionable insights. Apply statistical analysis to identify trends, patterns, and anomalies that guide strategic decisions. Effectively communicate complex data to various stakeholders, and develop dynamic dashboards and reports using tools like Excel, Power BI, or Tableau. You’ll also foster strong partnerships with external lead generation providers and collaborate across teams to implement data-driven solutions. DATA ANALYST – ESSENTIAL SKILLS Minimum of 3 years commercial experience as a Data Analyst or similar Experience working within the financial sector Programming experience – Python / SQL Excel Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com. By applying for this role, you give express consent for us to process and submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Analysis, Python, SQL, Financial Sector, Excel, PowerBI, Tableau, Stakeholder Management Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst Referrals increase your chances of interviewing at Searchability by 2x Sign in to set job alerts for “Data Analyst” roles. Nottingham, England, United Kingdom 2 weeks ago Nottingham, England, United Kingdom 4 weeks ago Nottingham, England, United Kingdom 2 days ago Leicestershire, England, United Kingdom 2 weeks ago Nottingham, England, United Kingdom 2 weeks ago Nottingham, England, United Kingdom 1 day ago Quality Data Analyst Apprentice (Level 3) – Holcim Mansfield, England, United Kingdom 6 days ago Loughborough, England, United Kingdom 1 week ago Loughborough, England, United Kingdom 4 weeks ago Derbyshire, England, United Kingdom 6 days ago Nottinghamshire, England, United Kingdom 3 days ago Nottingham, England, United Kingdom 3 days ago Derby, England, United Kingdom 3 days ago Data Scientist Nottingham University Hospitals NHS Trust Nottingham, England, United Kingdom 2 weeks ago Derbyshire, England, United Kingdom 3 days ago Junior Data Scientist (Associate II – Data Science) Nottingham, England, United Kingdom 3 weeks ago Nottingham, England, United Kingdom 2 days ago Nottingham, England, United Kingdom 2 days ago Nottingham, England, United Kingdom 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Contact Detail:
Searchability® Recruiting Team
Chelsea.hackett@searchability.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Make sure to research the fintech industry and understand the specific challenges it faces. This knowledge will help you tailor your conversations with the job poster and demonstrate your genuine interest in the sector.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, such as Power BI and Tableau. Being able to discuss your experience with these tools in detail can set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've used data analysis to drive business decisions in your previous roles. Being ready to share specific instances will showcase your practical experience and problem-solving skills.
✨Tip Number 4
Don’t hesitate to reach out directly to Chelsea Hackett via email. A well-crafted message expressing your enthusiasm for the role can make a strong impression and increase your chances of being noticed.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position. Familiarise yourself with the tools mentioned, such as Python, SQL, Excel, Power BI, and Tableau.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis, particularly within the financial sector. Emphasise your programming skills and any specific projects that demonstrate your ability to leverage data for business performance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your alignment with the company's values. Mention how your skills can contribute to their mission of providing fair and responsible lending.
Follow Up: After submitting your application, consider sending a follow-up email to express your continued interest in the role. This can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Searchability®
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, such as Excel, Power BI, and Tableau. Be prepared to discuss your experience with these tools and how you've used them to create reports or dashboards in previous roles.
✨Understand the Financial Sector
Since the role is within a fintech company, brush up on your knowledge of the financial sector. Be ready to discuss how data analysis can impact customer acquisition and retention strategies in this industry.
✨Prepare for Technical Questions
Expect technical questions related to Python and SQL. Review common data manipulation tasks and be ready to demonstrate your problem-solving skills through examples from your past work.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to communicate complex data insights to various stakeholders. Prepare examples of how you've effectively communicated findings in the past, and consider how you would explain a complex concept to someone without a technical background.
