Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Analytics Engineer and tackle exciting data challenges daily.
- Company: Be part of a leading global organization with over 100 years of experience.
- Benefits: Enjoy a competitive salary, bonus, private healthcare, and onsite amenities like a gym and restaurant.
- Why this job: This role offers career progression, training opportunities, and a vibrant work culture.
- Qualifications: Looking for candidates with a passion for data analytics and relevant experience.
- Other info: This position is onsite in Wantage, perfect for those who thrive in a collaborative environment.
The predicted salary is between 36000 - 66000 £ per year.
Data Analytics Engineer
Wantage – On site
£45,000 to £55,000 + 15% Bonus + Private Healthcare + Progression + Training + Onsite Gym, Restaurant & More!
Excellent opportunity for a Data Analytics Engineer that is looking for the next step in their career to join this industry leading, worldwide organisation!
This company has an international presence and have operated for over 100 years. They are lo…
WHJS1_UKTJ
Data Analytics Engineer employer: Rise Technical Recruitment Limited
Contact Detail:
Rise Technical Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Research the company’s history and its international presence. Understanding their operations and values will help you align your answers during the interview and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Familiarize yourself with the latest trends and tools in data analytics. Being able to discuss current technologies and methodologies will demonstrate your expertise and enthusiasm for the field.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've successfully utilized data analytics to drive results. This will showcase your practical skills and how you can contribute to the company's success.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. They can provide valuable insights about the company culture and the role, which can help you tailor your approach during the application process.
We think you need these skills to ace Data Analytics Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analytics Engineer position. Understand the key responsibilities and required skills, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data analytics, including specific tools and technologies you've used. Mention any relevant projects or achievements that demonstrate your capabilities.
Showcase Your Skills: Clearly outline your technical skills related to data analytics, such as programming languages (e.g., Python, R), data visualization tools, and database management. Use examples to illustrate how you've applied these skills in previous roles.
Craft a Compelling Cover Letter: Write a personalized cover letter that connects your background to the company's goals. Express your enthusiasm for the role and how you can contribute to their success, especially in terms of progression and training opportunities.
How to prepare for a job interview at Rise Technical Recruitment Limited
✨Understand the Company’s Data Needs
Before the interview, research the company's data analytics requirements and how they align with your skills. Be prepared to discuss specific projects where you've successfully utilized data analytics to drive business decisions.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in relevant tools and technologies, such as SQL, Python, or data visualization software. Consider bringing examples of your work or a portfolio that highlights your technical capabilities.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples from your past experiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and opportunities for growth. This shows your genuine interest in the role and helps you determine if the company is the right fit for you.
