Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse and visualise data to drive impactful business decisions.
- Company: Join a dynamic, innovative professional services provider.
- Benefits: Competitive pay, growth opportunities, and a fast-paced work environment.
- Why this job: Make a real difference with data in a collaborative team.
- Qualifications: Bachelor's degree in a relevant field and 2+ years of analytics experience.
- Other info: Work with cutting-edge tools and technologies in a supportive atmosphere.
The predicted salary is between 28800 - 48000 £ per year.
Competitive compensation commensurate with role and skill set. A fast-paced, growth-oriented environment with the associated rewards.
About Our Client
The company is a professional business services provider operating within the professional services industry. As a small-sized organisation, it is known for its innovative approach to delivering high-quality analytics and data-driven solutions.
Job Description
External Interfaces
- Vendors (if required)
- Contractors (if available)
- Data & Analytics Leadership
- Global Data & Analytics team
- Other relevant teams of the organisation including Global Marketing, Merchandising, Global Technology, and Business Units
Job Requirements
Education
- Bachelor's degree in computer science, Information Management or related technical fields
Relevant Experience
- 2+ years as a Data Analyst
- Relevant working experience in a quantitative/applied analytics role
- Experience with programming and the ability to quickly pick up handling large data volumes with modern data processing tools, by using Spark / SQL / Python
The Successful Applicant
- Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data
- Identifying trends and patterns in data and using this information to drive business decisions
- Create the requirement artefacts, Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects
- Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
- Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations
Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)
Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.)
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems
Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
Cloud computing services in Azure/AWS/GCP for analytics
Associate Data Analyst in Weybridge employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Analyst in Weybridge
✨Tip Number 1
Network like a pro! Reach out to folks 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, dashboards, and any cool insights you've generated. This will give 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 your technical skills and understanding the company’s analytics needs. Be ready to discuss how you can use tools like SQL, Python, and Power BI to solve real business problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Associate Data Analyst in Weybridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Analyst role. Highlight your experience with data processing tools like SQL and Python, and don’t forget to showcase any relevant projects that demonstrate your 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 background aligns with our innovative approach. Keep it concise but impactful!
Showcase Your Skills: When filling out your application, be sure to highlight your technical skills, especially in statistical modelling and dashboard creation. We love seeing how you’ve used these skills to drive business decisions in past roles.
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’s super easy!
How to prepare for a job interview at Michael Page
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, and any other relevant data processing tools. Be ready to discuss how you've used these in past roles, especially when handling large datasets.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified trends and patterns in data. Think about specific projects where your insights led to actionable business decisions, and be ready to share these stories.
✨Understand the Business Context
Research the company and its industry. Understand how data analytics plays a role in their operations, and be prepared to discuss how your skills can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions related to statistical modelling and data visualisation. Practice explaining complex concepts in simple terms, as this will demonstrate your communication skills alongside your technical expertise.
