Data-Driven Admin Assistant — Hybrid (30h/wk, 1–2 Remote) in Portsmouth

Data-Driven Admin Assistant — Hybrid (30h/wk, 1–2 Remote) in Portsmouth

Portsmouth Part-Time No working from home possible
Huntress

At a Glance

  • Tasks: Maintain data integrity, manage communications, and support operational workflows.
  • Company: Join Huntress, a dynamic team focused on data-driven solutions.
  • Benefits: Flexible 30-hour work week, remote options, and competitive pay.
  • Other info: Great opportunity for career growth in a supportive environment.
  • Why this job: Perfect for students seeking real-world experience while balancing studies.
  • Qualifications: Strong communication skills and a willingness to learn new systems.

Huntress is seeking an Administrator to maintain data integrity across systems. This role involves preparing and managing communications, scheduling tasks, and supporting operational workflows. Ideal candidates will have strong communication skills and an ability to learn new systems.

The position offers 30 hours per week, perfect for school hours, with the opportunity for remote work after training. Salary starts at £13.29 per hour, rising to £14.04 after 6 months.

Data-Driven Admin Assistant — Hybrid (30h/wk, 1–2 Remote) in Portsmouth employer: Huntress

Huntress is an excellent employer that values work-life balance, offering a flexible hybrid role perfect for those seeking part-time hours. With a supportive work culture that encourages professional growth and development, employees benefit from ongoing training and the opportunity to enhance their skills in a dynamic environment. The company fosters a collaborative atmosphere where communication is key, making it an ideal place for individuals looking to make a meaningful impact while enjoying the perks of remote work.

Huntress

Contact Details:

Huntress Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data-Driven Admin Assistant — Hybrid (30h/wk, 1–2 Remote) in Portsmouth

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 Huntress.

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 Huntress 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 Data-Driven Admin Assistant — Hybrid (30h/wk, 1–2 Remote) in Portsmouth

Data Integrity Management
Communication Skills
Task Scheduling
Operational Workflow Support
Adaptability to New Systems
Attention to Detail
Time Management

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 Huntress 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 Huntress

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 Huntress.

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 Huntress.

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 Huntress, 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 Huntress 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.