At a Glance
- Tasks: Assist in data collection, cleaning, and analysis while creating reports and dashboards.
- Company: Nexus IT connects top talent with leading IT firms across the UK.
- Benefits: Enjoy a £2,500/month stipend, bonuses, 28 days leave, and wellness support.
- Other info: Diversity and inclusion are key; all backgrounds are encouraged to apply.
- Why this job: Gain hands-on experience in data analysis with a forward-thinking tech company.
- Qualifications: Ideal for those with a background in stats, maths, or computer science; eager to learn SQL.
About Nexus IT
Nexus IT is a specialized recruitment agency connecting top talent with leading IT firms across the UK. We are currently hiring a Data Analyst Intern on behalf of a forward-thinking technology consulting company.
About the Internship
This internship is ideal for recent graduates or early-career professionals eager to build a career in data analysis. You’ll work closely with skilled data analysts and project teams on real client engagements, contributing to impactful insights while sharpening your analytical and technical toolkit.
Key Responsibilities
- Assist in collecting, cleaning, and validating datasets
- Support the creation of reports and dashboards using tools like Power BI and Excel
- Write basic SQL queries to extract and manipulate data
- Conduct exploratory data analysis (EDA) to identify patterns and trends
- Summarize insights into clear reports and visual presentations
- Document data sources, processes, and methodologies
- Participate in team meetings and brainstorming sessions
Ideal Candidate
We are looking for someone who is curious, motivated, and eager to grow:
- Background in Statistics, Mathematics, Computer Science, Economics, Business, or related fields
- Comfortable working with Microsoft Excel for data analysis
- Basic knowledge of SQL or strong interest in learning it
- Exposure to visualization tools (Power BI, Tableau, etc.) is a plus
- Strong attention to detail and analytical thinking
- Good communication skills, especially in presenting data insights
- Eagerness to learn and contribute in a team environment
What You’ll Gain
- Monthly stipend starting from £2500
- Performance-based bonuses
- Coverage of professional development fees
- 28 days annual leave plus UK bank holidays
- Paid leave for UK Armed Forces Reservists
- 24/7 Employee Assistance Programme (including GP access, mental health support, and wellness services)
Eligibility Requirements
Must be eligible to work in the UK
Hiring Process
We strive to make hiring simple and supportive:
- Introductory Call – Learn more about your goals and the internship opportunity
- HR Interview – Discuss your background, motivation, and career aspirations
- Technical Assessment – Evaluate your analytical approach and basic technical skills
Questions are welcome throughout — we are here to help you succeed.
Diversity & Inclusion at Nexus IT
Nexus IT is committed to inclusive recruitment practices. We welcome applicants from all backgrounds and are happy to provide accommodations as needed throughout the hiring process. Our goal is to foster a diverse candidate pool for every role we fill.
Industry: IT & Business Consulting (via Nexus IT Recruitment)
Data Analyst Intern in Nottingham employer: Linkedin
The London Oratory School is an exceptional employer, offering a vibrant and supportive work culture that prioritises staff development and well-being. With a commitment to a distinctively Catholic education, the school fosters a collegial atmosphere where staff are valued and encouraged to grow both personally and professionally. Located in a prestigious area of London, employees benefit from first-class facilities, competitive salaries, and a strong emphasis on innovative teaching practices, making it an ideal place for those seeking meaningful and rewarding careers in education.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Intern in Nottingham
✨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 Linkedin!
✨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 Analyst Intern at Linkedin.
✨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 Linkedin.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst Intern at Linkedin, 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 Analyst Intern in Nottingham
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 Linkedin, 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 Linkedin. 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 Linkedin
✨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 Linkedin!
✨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.
