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- Tasks: Analyse and improve data while collaborating with various teams across the business.
- Company: Join a leading banking firm focused on data-driven decision making.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and teamwork.
- Why this job: Make an impact by delivering valuable insights that drive business success.
- Qualifications: Experience in data analysis, strong SQL skills, and attention to detail.
The predicted salary is between 30000 - 40000 £ per year.
You’ll work with different teams across the business to manage, analyze, and improve data. The role focuses on building reports, ensuring data quality, and supporting banking products with reliable data insights.
Key Responsibilities
- Work with teams to understand requirements and deliver reports/insights
- Build and improve data pipelines and reporting solutions
- Ensure data accuracy, consistency, and quality
- Automate processes to improve efficiency and reduce manual work
- Fix data issues and discrepancies in reports
- Present data insights using clear reports and visualizations
- Support teams with data analysis for testing and investigations
- Follow data governance and compliance standards
- Deliver reporting solutions using modern cloud technologies
Required Skills
- Experience in data analysis / reporting / BI roles
- Strong knowledge of SQL and databases
- Understanding of handling large data sets efficiently
- Experience with testing (unit, integration, etc.)
- Familiarity with data formats like JSON, Avro, Parquet
- Good analytical and problem-solving skills
- Ability to explain complex data in simple terms
- Strong attention to detail and communication skills
Nice to Have
- Experience in banking or regulated industries
- Knowledge of ETL and data warehousing
- Understanding of data streaming / event-driven systems
- Experience with Python for data analysis
- Familiarity with AWS cloud and data governance
Data Analyst employer: Neev
Contact Detail:
Neev Recruiting 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 professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, reports, and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data handling skills. We recommend practising common data-related interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 data analysis and reporting. We want to see how your skills match the job description, so don’t be shy about showcasing your SQL knowledge and any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. We love seeing candidates who can communicate complex data insights in simple terms.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data issues or improved processes in the past. We’re looking for those strong analytical skills, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Neev
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your data analysis skills. Be prepared to discuss your experience with SQL and how you've handled large datasets. Think of specific examples where you've improved data quality or built reports that had a significant impact.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some real-world data issues. They might ask you to explain how you would fix discrepancies in reports or automate processes. Use clear examples from your past work to demonstrate your analytical thinking and problem-solving abilities.
✨Visualisation is Key
Since presenting data insights is part of the role, practice explaining complex data in simple terms. Bring along examples of reports or visualisations you've created. This will not only show your technical skills but also your ability to communicate effectively with non-technical teams.
✨Familiarise Yourself with the Tools
Make sure you know the modern cloud technologies mentioned in the job description. If you have experience with AWS or ETL processes, be ready to discuss it. Showing that you're up-to-date with the latest tools will give you an edge over other candidates.