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For Companies At a Glance
- Tasks: Analyse complex data to identify business issues and opportunities.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy career development, skill-building opportunities, and exposure to cutting-edge technologies.
- Why this job: Shape the future of business while working with data and making a real impact.
- Qualifications: Background in business analysis tools, coding skills in SQL, SAS, Python, and strong analytical abilities.
- Other info: Opportunity to challenge and improve business processes for better customer outcomes.
The predicted salary is between 28800 - 48000 £ per year.
Join us as a Data & Analytics Analyst. Take on a new challenge in Data & Analytics and help us shape the future of our business. You’ll be contributing to the analysis of complex data to identify business issues and opportunities, and supporting the delivery of high quality business solutions.
We’re committed to mapping a career path that works for you, with a focus on helping you build new skills and engage with the latest ideas and technologies in data analytics.
What you’ll do:
- Monitor and provide high quality analytical input to support the development and implementation of innovative processes and problem resolution.
- Capture, validate and document business and data requirements, ensuring they align with key strategic principles.
- Interrogate, interpret and visualise large volumes of data to identify, support and challenge business opportunities and identify solutions.
- Perform data extraction, storage, manipulation, processing and analysis.
- Conduct and support options analysis, identifying the most appropriate solution.
- Help maintain full traceability and linkage of business requirements of analytics outputs.
- Seek opportunities to challenge and improve current business processes, ensuring the best result for the customer.
- Create and execute quality assurance at various stages of the project to validate the analysis, ensure data quality, identify data inconsistencies, and resolve as needed.
The skills you’ll need:
- A background in business analysis tools and techniques, along with the ability to influence through communications tailored to a specific audience.
- Ability to use key tooling (Snowflake, AWS, Tableau) and relevant coding languages (SQL, SAS, Python).
- Strong analytic and problem solving abilities.
- A keen eye for detail in your work.
Data & Analytics Analyst employer: NatWest
Contact Detail:
NatWest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, AWS, and Tableau. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss real-world examples of how you've used data analytics to solve business problems. Think about specific projects where you identified opportunities through data analysis and be ready to explain your thought process and the impact of your work.
✨Tip Number 3
Brush up on your coding skills, particularly in SQL, SAS, and Python. Being able to demonstrate your coding abilities during technical interviews can significantly boost your chances of landing the role, so practice writing queries and scripts that showcase your analytical capabilities.
✨Tip Number 4
Network with professionals in the data analytics field, especially those who work at StudySmarter or similar companies. Engaging with industry peers can provide valuable insights into the company culture and expectations, and may even lead to referrals that can help your application stand out.
We think you need these skills to ace Data & Analytics Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data analytics. Emphasise your proficiency in tools like Snowflake, AWS, and Tableau, as well as your coding skills in SQL, SAS, and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how your background aligns with the company's goals. Mention specific projects or experiences where you successfully analysed data to solve business problems.
Showcase Analytical Skills: In your application, provide examples of how you've used analytical tools and techniques to influence business decisions. Highlight any experience with data extraction, manipulation, and quality assurance processes.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or inconsistencies, as attention to detail is crucial in data analytics roles.
How to prepare for a job interview at NatWest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to solve problems in the past. Highlight your experience with tools like SQL, Python, or Tableau, and be ready to explain your thought process when interpreting complex data.
✨Understand the Business Context
Research the company and its industry to understand the key business challenges they face. This will help you tailor your responses to demonstrate how your skills can directly address their needs and contribute to their success.
✨Prepare for Technical Questions
Expect technical questions related to data extraction, manipulation, and analysis. Brush up on your knowledge of Snowflake, AWS, and relevant coding languages. Practising common data scenarios can help you feel more confident during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the company's data strategy and analytics goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
