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- Tasks: Analyse complex data to identify business issues and opportunities.
- Company: Join a forward-thinking company shaping the future of data analytics.
- Benefits: Enjoy a career path focused on skill-building and engagement with cutting-edge technologies.
- Why this job: Be part of a dynamic team that values innovation and problem-solving.
- Qualifications: Background in business analysis tools, coding languages, and strong analytical skills required.
- Other info: Opportunity to work with key tools like Snowflake, AWS, and Tableau.
The predicted salary is between 28800 - 43200 £ 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 are 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: Medirest Signature
Contact Detail:
Medirest Signature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Analyst
✨Tip Number 1
Familiarise yourself with the key 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 will set you apart during the interview process.
✨Tip Number 2
Prepare to discuss specific examples of how you've used data analytics to solve business problems in the past. Think about projects where you identified opportunities for improvement 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 proficiency in these languages during technical discussions can significantly boost your chances of landing the role.
✨Tip Number 4
Showcase your problem-solving abilities by preparing for case study questions that may arise during interviews. Practice breaking down complex data scenarios and articulating your approach to finding solutions, as this will highlight your analytical mindset.
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 analysis, such as proficiency in SQL, Python, and tools like Tableau. Use specific examples of past projects where you successfully analysed data or improved business processes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Data & Analytics Analyst role. Discuss how your background aligns with the job description, particularly your experience with data extraction and analysis, and your ability to communicate findings effectively.
Showcase Your Analytical Skills: Provide concrete examples of how you've used data to solve problems or identify opportunities in previous roles. This could include specific projects where you performed data manipulation or created visualisations that influenced business decisions.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and concise, as attention to detail is crucial in data analytics.
How to prepare for a job interview at Medirest Signature
✨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, Tableau, and any relevant coding languages, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Research the company and its industry to understand the key business challenges they face. This will allow you to tailor your responses and show how your skills can directly contribute to their goals.
✨Prepare for Technical Questions
Expect questions that test your knowledge of data extraction, manipulation, and analysis. Brush up on your technical skills and be ready to explain your thought process when tackling data-related problems.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be sure to highlight instances where your attention to detail has led to successful outcomes. This could include catching errors in data or improving processes through meticulous analysis.
