At a Glance
- Tasks: Collect and analyse data, prepare reports, and support project decisions.
- Company: Join Hawkroot, a dynamic company connecting talent with exciting data projects.
- Benefits: Hybrid work model, real-world experience, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and adapting to project needs.
- Why this job: Make a real impact on client success while developing your analytical skills.
- Qualifications: Strong analytical skills and familiarity with data tools; studying a quantitative field.
The predicted salary is between 22500 - 27500 £ per year.
Company Description
Hawkroot connects companies with pre-vetted talent for short-term data and technology projects, enabling growing businesses to access skilled support in areas such as analytics, automation, and software development.
Through a project-based model, Hawkroot focuses on clear, measurable outcomes while providing practical, real-world experience to emerging professionals.
The company partners with teams that need to move quickly and efficiently by matching them with the right talent at the right time.
Applicants can expect to work on meaningful projects that contribute directly to client success and their own professional growth.
Role Description
The Associate Data Analyst internship role at Hawkroot is a hybrid position based in the City of Bristol, with some work from home flexibility.
Day-to-day responsibilities include collecting and cleaning data from various sources, performing basic data analysis, and preparing reports or dashboards to support project decisions.
The intern will assist in identifying trends and patterns, support data modeling tasks under guidance from senior analysts, and help document methodologies and findings in a clear and structured way.
The role also involves collaborating with project teams, communicating insights to non-technical stakeholders, and learning best practices in analytics and data-driven decision-making within short-term client engagements.
Qualifications
- Strong Analytical Skills and foundational Data Analytics knowledge to interpret data and generate insights.
- Basic understanding of Statistics and Data Modeling to support quantitative analysis and structured data solutions.
- Effective Communication skills to present findings clearly and collaborate with technical and non-technical team members.
- Familiarity with spreadsheets and data tools (e. g., Excel, Google Sheets; exposure to SQL or Python is beneficial).
- Currently studying or recently completed a degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or a related discipline.
- Ability to work in a hybrid setup in the City of Bristol, manage time effectively, and adapt to a project-based environment.
- Attention to detail, eagerness to learn, and interest in analytics, automation, or software-related projects.
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Associate Data Analyst employer: Hawkroot
Hawkroot is an exceptional employer that empowers emerging professionals through hands-on experience in data analytics and technology projects. Located in the vibrant City of Bristol, the company fosters a collaborative work culture that prioritises professional growth and meaningful contributions to client success. With flexible hybrid working arrangements and a focus on clear outcomes, Hawkroot offers a unique opportunity for interns to develop their skills while making a tangible impact in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Analyst
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Associate Data Analyst
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Hawkroot will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Hawkroot
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Hawkroot.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Hawkroot that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
