Data Analysis Assistant in Surrey

Data Analysis Assistant in Surrey

Surrey Full-Time 27000 - 33000 £ / year (est.) No working from home possible
YourRecruit

At a Glance

  • Tasks: Help organise and analyse data using bespoke software in a supportive team.
  • Company: A growing tech business known for innovative solutions and a friendly culture.
  • Benefits: Up to £30,000 salary, free parking, 20 days leave, and a pension scheme.
  • Other info: Join a dynamic team where your development is a priority.
  • Why this job: Kickstart your career in tech with full training and real growth opportunities.
  • Qualifications: No experience needed, just a positive attitude and interest in technology.

The predicted salary is between 27000 - 33000 £ per year.

Looking for a career where attitude matters more than experience?

Are you technically minded, organised and keen to build a long-term career within a growing technology business?

Our client is a well-established and expanding technology-led business with an excellent reputation for delivering innovative solutions to commercial clients.

Due to continued growth, they are looking to recruit a Data Analysis Assistant to join their friendly and supportive team.

Whether you're leaving college, have an IT background, or are simply looking for a change in direction, this is a fantastic opportunity to join a company that is committed to developing its people.

Full training will be provided, so we're looking for someone with the right attitude, a willingness to learn and a genuine interest in technology and digital systems.

Location : Redhill, Surrey Salary : Up to £30,000 (depending on experience) Hours : Monday to Friday, 8:00am – 5:00pm Benefits : Free Parking, 20 days annual leave plus BH – increasing with service, pension, A supportive, friendly working environment where your development is encouraged.

The Role Working as part of a specialist project team, you will play an important role in configuring and organising data within bespoke software platforms.

You ...

Data Analysis Assistant in Surrey employer: YourRecruit

At YourRecruit, we pride ourselves on being an exceptional employer that values innovation and collaboration within the educational sector. Our supportive work culture fosters professional growth, offering ample opportunities for development while making a meaningful impact in Further Education. Located in a vibrant community, we provide competitive benefits and a commitment to continuous improvement, ensuring our employees thrive both personally and professionally.

YourRecruit

Contact Details:

YourRecruit Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analysis Assistant in Surrey

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 YourRecruit!

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 Analysis Assistant at YourRecruit.

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 YourRecruit.

Apply Directly through Our Website

When you find a suitable opening like Data Analysis Assistant at YourRecruit, 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 Analysis Assistant in Surrey

Communication Skills
SQL
Problem-Solving Skills
Automation
Python
Attention to Detail
Data Warehousing

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 YourRecruit, 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 YourRecruit. 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 YourRecruit

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 YourRecruit!

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.