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- Tasks: Provide technical support for data and survey analysis in a collaborative team.
- Company: Dynamic market research consultancy based in Central London.
- Benefits: Hybrid working model, career development opportunities, and salary progression.
- Why this job: Join a dedicated team and enhance your skills in data processing and analytics.
- Qualifications: Expertise in SPSS, advanced Excel, and familiarity with Python or Q/Merlin.
- Other info: Exciting environment with strong potential for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A market research consultancy based in Central London is seeking a Data Processing Consultant to join their dedicated team. The role involves providing high-level technical support for data and survey analysis in a collaborative environment.
Candidates must possess expertise in SPSS, advanced Excel skills, and familiarity with coding software such as Python or Q/Merlin.
The consultancy offers a hybrid working model and strong opportunities for career development and salary progression.
Data Processing & Analytics Consultant — Market Research in London employer: Resources Group
Contact Detail:
Resources Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Processing & Analytics Consultant — Market Research in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the consultancy on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using SPSS and Excel. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills in Python or Q/Merlin. We can find online resources or courses to help us get comfortable before the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how we fit the role perfectly.
We think you need these skills to ace Data Processing & Analytics Consultant — Market Research in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in SPSS and advanced Excel skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about market research and how your skills in coding software like Python can add value to our team. Keep it engaging and personal!
Showcase Your Collaborative Spirit: Since we work in a collaborative environment, it’s important to demonstrate your ability to work well with others. Share examples of past teamwork experiences in your application to show us you’re a great fit for our culture.
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 to do!
How to prepare for a job interview at Resources Group
✨Know Your Tools Inside Out
Make sure you’re well-versed in SPSS, Excel, and any coding software mentioned in the job description. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.
✨Showcase Your Analytical Mindset
Prepare to talk about how you approach data analysis and problem-solving. Think of examples where your analytical skills made a difference in a project, and be ready to explain your thought process.
✨Familiarise Yourself with Market Research Trends
Stay updated on the latest trends in market research and data analytics. Being able to discuss current industry developments will show your passion for the field and your commitment to staying informed.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and growth opportunities. This not only shows your interest but also helps you gauge if the company is the right fit for you.
