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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.
- Other info: Remote work options available; apply directly via email or online.
The predicted salary is between 36000 - 54000 £ per year.
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.
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.
ESSENTIAL SKILLS
- Minimum of 3 years commercial experience as a Data Analyst or similar
- Experience working within the financial sector
- Programming experience - Python / SQL
- Data Visualisation - Excel
KEY SKILLS:
- Data Analysis
- Python
- SQL
- Financial Sector
- Excel
- PowerBI
- Tableau
- Stakeholder Management
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the fintech industry, especially the specific challenges and trends in financial data analysis. This knowledge will help you speak confidently about how your skills can contribute to the company's goals during any discussions.
✨Tip Number 2
Brush up on your programming skills, particularly in Python and SQL, as these are essential for the role. Consider working on personal projects or contributing to open-source projects to showcase your abilities in a practical context.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Power BI and Tableau. Have examples ready that demonstrate how you've used these tools to create impactful dashboards or reports that influenced business decisions.
✨Tip Number 4
Network with professionals in the fintech sector, either through LinkedIn or local meetups. Building connections can provide valuable insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
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 analysis and your understanding of the company's mission. Mention how your skills can contribute to their customer-focused approach and ethical lending practices.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Searchability
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and data visualisation tools like Excel, Power BI, or Tableau. Be prepared to discuss specific projects where you used these skills to drive business outcomes.
✨Understand the Financial Sector
Since the role is within a fintech company, demonstrate your understanding of the financial sector. Familiarise yourself with common challenges and trends in the industry, and be ready to discuss how your analytical skills can address these.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've used data analysis to inform strategic decisions or improve processes, particularly in customer acquisition and retention.
✨Communicate Clearly and Effectively
As a Data Analyst, you'll need to convey complex data insights to various stakeholders. Practice explaining your findings in simple terms and consider how you would present data visually to make it more accessible.
