Data Analyst

Data Analyst

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Flint Bishop Solicitors

At a Glance

  • Tasks: Analyse data, create reports, and optimise strategies for debt recovery.
  • Company: Flint Bishop, a top UK debt recovery law firm with award-winning strategies.
  • Benefits: Permanent full-time role with career progression in a friendly team.
  • Other info: Opportunity to engage with stakeholders and lead performance improvement projects.
  • Why this job: Join a fast-paced environment and make a real impact with your data skills.
  • Qualifications: Proficient in SQL, Python, R, and strong analytical problem-solving skills.

The predicted salary is between 30000 - 40000 £ per year.

Flint Bishop is one of the leading business-to-business debt recovery law firms in the UK. We are the recovery partner for many leading UK brands and the firm has won all three major national debt recovery awards for our strategy and results. Data plays an increasingly important part of our business and as a result of continued growth, we now have an excellent opportunity for a Data Analyst to join our team based at Derby.

The firm uses an SQL based case management system to manage the recovery of bulk debts and as the basis of internal and external reporting. This role will cover the full spectrum of data management and analysis, from accurate client reporting to collating performance data and using it to help define and optimise operational strategies.

We are looking for a hands‑on individual who is a natural problem solver with proficient data analytical skills and overall data accuracy. Reporting to the Data Analyst Manager, the desired candidate will be keen to join a fast‑paced and friendly team to further progress their career in data analytics.

Key Responsibilities

  • Create, develop and maintain client reports using languages such as SQL, Python and R
  • Develop internal visualization tools and reports to enable stakeholders to better understand their portfolios
  • Provide insight on client portfolios and identify trends across the business
  • Recommend changes and enhancements to current strategies
  • Suggest areas of focus and lead projects to help improve performance
  • Engage with both internal and external stakeholders to present findings and provide solutions
  • Support and maintain data warehousing

Data Analyst employer: Flint Bishop Solicitors

Flint Bishop is an exceptional employer, offering a dynamic work environment in Derby where data-driven insights are at the forefront of our operations. With a strong focus on employee growth, we provide opportunities for professional development and encourage a collaborative culture that values innovation and problem-solving. Join us to be part of a leading debt recovery law firm that not only champions your career but also rewards your contributions with competitive benefits and a supportive team atmosphere.

Flint Bishop Solicitors

Contact Details:

Flint Bishop Solicitors Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Python, or R. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process and how you've solved problems in the past. Confidence is key!

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen to be part of our friendly crew.

We think you need these skills to ace Data Analyst

SQL
Python
R
Data Management
Data Analysis
Data Accuracy
Data Visualisation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and R, and showcase any relevant projects or achievements that demonstrate your data analytical skills.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills align with our needs at Flint Bishop. Don’t forget to mention your problem-solving abilities!

Showcase Your Data Skills:In your application, be sure to include specific examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Flint Bishop Solicitors

Know Your SQL Inside Out

Since the role heavily involves SQL, make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL-based case management systems and even tackle some practical questions or problems during the interview.

Showcase Your Analytical Mindset

Prepare examples of how you've used data analysis to solve real-world problems. Think about specific projects where your insights led to improvements or optimisations. This will demonstrate your hands-on approach and problem-solving abilities.

Familiarise Yourself with Data Visualisation Tools

The job mentions developing internal visualisation tools, so it’s a good idea to know your way around popular data visualisation software. Be ready to discuss any tools you've used, like Tableau or Power BI, and how they helped in your previous roles.

Engage with Stakeholders

Since the role involves engaging with both internal and external stakeholders, think about how you can communicate complex data findings clearly. Prepare to share experiences where you successfully presented data insights and how they influenced decision-making.