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For Companies At a Glance
- Tasks: Analyse data, track KPIs, and present insights to drive business decisions.
- Company: Join Express Recruitment, a leading recruitment agency in the East Midlands since 1987.
- Benefits: Enjoy flexible working, private healthcare, and opportunities for career progression.
- Why this job: Be part of an innovative team in finance, making impactful data-driven decisions.
- Qualifications: Degree in Data Science or related field; experience in financial services required.
- Other info: Full-time, hybrid role based in Nottingham with a competitive salary up to £45,000.
The predicted salary is between 36000 - 60000 £ per year.
Express Recruitment are proud to be representing a Finance Specialists based in Nottingham who are looking for a Data Analyst to join their team on a full time, hybrid, and permanent basis with flexible working. They cultivate an innovative and growth driven environment, making this role ideal for a Data Analyst with experience in the financial industry looking for their next role!
The successful candidate will analyse and interpret data from multiple sources, track key customer KPIs, and conduct statistical analysis to identify trends and patterns. They will also manage relationships and work cross-functionally with external partners and internal teams.
The ideal candidate will have:
- A degree in a relevant subject such as Data Science, Statistics, Economics or a similar discipline
- Considerable experience in the Financial Services industry
- Strong proficiency in Excel with the ability to handle and analyse large datasets
- Proficiency in Python, SQL or other relevant programming languages used for data analysis
- The ability to communicate technical insights clearly and confidently to non-technical audiences
- A detail-oriented and process-driven approach with a strong focus on continuous improvement
- Comfort operating in a fast-paced and evolving environment
- A good understanding of statistical methods and their practical application
- Experience working with Salesforce and data visualisation tools such as Power BI or Tableau
Roles and Responsibilities:
- Analyse and interpret data from multiple sources to improve performance, enhance budget efficiency and increase return on investment
- Track key customer KPIs and support both acquisition and retention strategies using A/B testing and data insights
- Conduct statistical analysis to identify trends, patterns and anomalies that inform strategic decisions
- Present complex data in a clear and actionable format tailored to a range of stakeholders
- Build and maintain dashboards and reports using tools such as Excel, Power BI, Tableau or similar
- Manage relationships with external lead generation partners to ensure accurate and timely data delivery
- Collaborate with cross-functional teams to deliver data-led solutions that support business goals
For the position, they are offering a competitive salary of up to c£45,000 per annum D.O.E alongside a comprehensive benefits package which includes hybrid and flexible working, long term career progression, private healthcare, and more!
Data Analyst employer: Express Recruitment
Contact Detail:
Express Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the financial services industry. Understanding the specific challenges and trends in this sector will help you demonstrate your knowledge during interviews and discussions.
✨Tip Number 2
Brush up on your Excel skills, especially in data manipulation and analysis. Being able to showcase your proficiency with large datasets can set you apart from other candidates.
✨Tip Number 3
Practice explaining complex data insights in simple terms. Since the role requires communicating with non-technical audiences, being able to convey your findings clearly is crucial.
✨Tip Number 4
Network with professionals in the financial services and data analysis fields. Engaging with others can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the financial services industry and showcases your proficiency in Excel, Python, or SQL. Use specific examples of how you've analysed data and presented insights to non-technical audiences.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in analysing data and managing relationships with stakeholders. Be sure to include your understanding of statistical methods.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving data analysis or visualisation tools like Power BI or Tableau, be sure to mention them. This will demonstrate your practical experience and ability to deliver data-led solutions.
Prepare for Technical Questions: Anticipate technical questions related to data analysis and statistical methods during the interview process. Brush up on your knowledge of key concepts and be ready to discuss how you've applied them in previous roles.
How to prepare for a job interview at Express Recruitment
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed and interpreted data in your previous roles. Highlight any experience you have with statistical analysis and how it has informed strategic decisions.
✨Demonstrate Technical Proficiency
Make sure to mention your proficiency in Excel, Python, or SQL during the interview. You might be asked to solve a problem or explain a concept, so brush up on your technical skills and be ready to demonstrate them.
✨Communicate Clearly
Since the role requires presenting complex data to non-technical audiences, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world scenarios. Think of examples where you've tracked KPIs or collaborated with cross-functional teams to deliver data-led solutions.
