Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into big data tasks and analyse trends using ETL, Python, and Power BI.
- Company: Join a global leader in recovery audit services with a focus on innovation.
- Benefits: Starting salary of £18,000, private health insurance, and discounted gym membership.
- Why this job: Gain hands-on experience and mentorship while working with major retail brands.
- Qualifications: Enrolled in a relevant degree with strong interpersonal skills.
- Other info: Perfect placement year opportunity with potential for career growth.
The predicted salary is between 18000 - 18000 £ per year.
A global leader in recovery audit services is seeking a Technical Data Analyst for a placement year in Manchester. This opportunity offers exposure to big data tasks, mentoring from experts, and the chance to work with major retail brands.
The ideal candidate should have interpersonal skills and be enrolled in a relevant degree.
Benefits include a starting salary of £18,000, private health insurance, and discounted gym membership.
Data Analytics Placement | ETL, Python & Power BI in Manchester employer: Hirebridge
Contact Detail:
Hirebridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Placement | ETL, Python & Power BI in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the data analytics field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that placement.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ETL, Python, and Power BI. This is your chance to demonstrate what you can do beyond your CV, and we know employers love seeing real examples of your work.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Analytics Placement | ETL, Python & Power BI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in ETL, Python, and Power BI. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this placement and how your interpersonal skills will help you thrive in our team. Keep it engaging and personal!
Showcase Your Passion for Data: We love candidates who are genuinely interested in data analytics. Share any personal projects or experiences that demonstrate your enthusiasm for working with big data and analytics tools.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Hirebridge
✨Know Your Data Tools
Make sure you brush up on your ETL processes, Python programming, and Power BI skills. Be ready to discuss how you've used these tools in your studies or projects, as the interviewers will want to see your practical knowledge.
✨Showcase Your Interpersonal Skills
Since this role requires strong interpersonal skills, think of examples where you've successfully collaborated with others. Whether it's group projects or team sports, be prepared to share how you communicate and work well with different personalities.
✨Research the Company
Familiarise yourself with the company’s mission and values, especially their focus on recovery audit services. Knowing their major retail clients can also give you an edge, as it shows genuine interest and preparation.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the mentoring process or the types of big data tasks you'll be involved in. It shows you're engaged and eager to learn more about the role.
