Data Administrator - Compliance & Data Entry Flexible Hours in Southampton

Data Administrator - Compliance & Data Entry Flexible Hours in Southampton

Southampton Full-Time 20250 - 24750 £ / year (est.) On-site
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At a Glance

  • Tasks: Assist with data entry and compliance tasks in a busy office environment.
  • Company: A growing company in Southampton with a friendly and focused culture.
  • Benefits: Flexible hours, opportunities for career progression, and a supportive team.
  • Other info: Ideal for self-motivated individuals looking for growth.
  • Why this job: Join a dynamic team and develop your skills while making a real impact.
  • Qualifications: Attention to detail, good IT skills, and effective communication.

The predicted salary is between 20250 - 24750 £ per year.

A growing company in Southampton is looking for two Data Administrators to join their busy team.

The role requires excellent attention to detail and good IT literacy, assisting internal colleagues in a compliance/admin environment.

Ideal candidates will have office experience, good communication skills, and the ability to maintain client confidentiality.

This is a friendly but focused working environment, with opportunities for career progression for self-motivated individuals.

Data Administrator - Compliance & Data Entry Flexible Hours in Southampton employer: Aspire Jobs

Aspire Jobs is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. Located in England, we offer our employees robust growth opportunities through continuous learning and development, alongside a commitment to work-life balance. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in the marketing landscape.

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Contact Details:

Aspire Jobs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Administrator - Compliance & Data Entry Flexible Hours in Southampton

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aspire Jobs!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Administrator - Compliance & Data Entry Flexible Hours at Aspire Jobs.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aspire Jobs.

✨Apply Directly through Our Website

When you find a suitable opening like Data Administrator - Compliance & Data Entry Flexible Hours at Aspire Jobs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Administrator - Compliance & Data Entry Flexible Hours in Southampton

Attention to Detail
IT Literacy
Office Experience
Communication Skills
Client Confidentiality
Self-Motivation
Data Entry Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Aspire Jobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aspire Jobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Aspire Jobs

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aspire Jobs!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.