Remote Focus Group Participant - Flexible Hours & Pay in West Kirby

Remote Focus Group Participant - Flexible Hours & Pay in West Kirby

West Kirby Part-Time 36400 - 36400 £ / year (est.) Working from home possible
Broughton Group

At a Glance

  • Tasks: Participate in online focus groups and share your opinions on various topics.
  • Company: Broughton Group, a leader in market research with a flexible work culture.
  • Benefits: Earn up to £700 per week with flexible hours from the comfort of your home.
  • Other info: Perfect for students or anyone looking for extra income.
  • Why this job: No experience needed; just share your thoughts and get paid!
  • Qualifications: Must have a smartphone or webcam and reliable internet connection.

The predicted salary is between 36400 - 36400 £ per year.

Broughton Group is hiring a Data Entry Clerk for remote participation in focus groups and studies. This part-time role offers the flexibility to work from home and earn up to £700 per week.

Candidates must have a smartphone or webcam, and a reliable internet connection. No prior data entry experience is necessary, making this position ideal for anyone seeking additional income through online discussions.

Remote Focus Group Participant - Flexible Hours & Pay in West Kirby employer: Broughton Group

Broughton Group is an excellent employer that values flexibility and inclusivity, offering remote focus group participation with the potential to earn up to £700 per week. Our supportive work culture encourages individuals from all backgrounds to engage in meaningful discussions, while providing opportunities for personal growth and additional income without the need for prior experience. Join us to enjoy a rewarding work-life balance and contribute to impactful research from the comfort of your home.

Broughton Group

Contact Details:

Broughton Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Focus Group Participant - Flexible Hours & Pay in West Kirby

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Broughton Group.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Broughton Group and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Remote Focus Group Participant - Flexible Hours & Pay in West Kirby

Data Entry
Remote Participation
Communication Skills
Reliability
Internet Proficiency
Smartphone Usage
Webcam Operation

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Broughton Group aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Broughton Group

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Broughton Group.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Broughton Group.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Broughton Group, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Broughton Group will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.