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- Tasks: Collect promotional data in supermarkets and stores across the UK.
- Company: Leading data analytics firm with a focus on innovation.
- Benefits: Flexible hours, part-time work, and the chance to work with top brands.
- Why this job: Help major brands grow while enjoying a flexible work schedule.
- Qualifications: Attention to detail, comfort with handheld devices, and a vehicle for business use.
- Other info: Occasional weekend and evening availability required.
The predicted salary is between 11 - 16 £ per hour.
A leading data analytics firm is seeking a Retail Scan Associate in Tees Valley, UK. This part-time role offers flexible hours and entails collecting promotional data in various supermarkets and stores across the country.
Candidates should have:
- Attention to detail
- Comfort with handheld devices
- A vehicle insured for business usage
This position occasionally requires weekend and evening availability. Successful applicants will help top brands unlock business growth.
Field Retail Data Scanner — Flexible Part-Time employer: Circana
Contact Detail:
Circana Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Field Retail Data Scanner — Flexible Part-Time
✨Tip Number 1
Get to know the company! Research the data analytics firm and understand their values and mission. This will help you tailor your approach during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Before any interview, run through common questions and scenarios related to the Retail Scan Associate role. This will boost your confidence and help you articulate how your skills match what they're looking for.
✨Tip Number 3
Show off your attention to detail! During the interview, share examples of how you've successfully collected and analysed data in the past. This will demonstrate that you have the right mindset for the job and can handle the responsibilities.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and stay updated on your progress. Plus, it shows you're keen on joining us at StudySmarter, which is always a bonus!
We think you need these skills to ace Field Retail Data Scanner — Flexible Part-Time
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're filling out your application, make sure to highlight your attention to detail. This role is all about collecting accurate data, so let us know how you've nailed this in past experiences!
Be Clear About Your Availability: Since the job requires some weekend and evening work, be upfront about your availability. We want to know when you can jump in and help us out, so don’t hold back!
Mention Your Tech Savviness: We're looking for someone who's comfortable with handheld devices. If you've used similar tech before, give us the lowdown in your application. It’ll show us you’re ready to hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. 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 Circana
✨Know Your Data
Familiarise yourself with basic data analytics concepts and how they apply to retail. Being able to discuss how data influences business decisions will show your potential employer that you understand the importance of the role.
✨Show Off Your Attention to Detail
Since this role requires a keen eye for detail, prepare examples from your past experiences where your attention to detail made a difference. Whether it’s spotting discrepancies in data or ensuring accuracy in reports, be ready to share!
✨Get Comfortable with Tech
As you'll be using handheld devices, practice using similar technology if you can. Mention any relevant experience with tech during the interview to demonstrate your comfort level and adaptability.
✨Flexibility is Key
Highlight your availability for weekends and evenings, as this role may require it. Be honest about your schedule and express your willingness to adapt, which will show your commitment to the job.
