At a Glance
- Tasks: Collect and analyse data, support client projects, and develop insightful reports.
- Company: Stratx, a dynamic consulting partner focused on data-driven growth.
- Benefits: Paid internship at £15/hour, flexible hours, and mentorship from industry experts.
- Other info: Fully remote role with excellent opportunities for professional growth.
- Why this job: Gain hands-on experience in analytics and make a real impact on client projects.
- Qualifications: Studying or recently graduated in Data Science, Business Analytics, or related fields.
The predicted salary is between 12 - 18 € per hour.
Company Overview
Stratx is a consulting partner that supports businesses in accelerating growth and improving operational performance. We specialise in helping companies make informed, data-driven decisions by providing strategic insights, analytical support, and practical guidance. Our focus is on delivering clear, effective solutions — not jargon — to enable smarter and more efficient business operations.
Role Summary
Stratx is offering a remote Data Analyst Internship for motivated individuals based in London who want meaningful, hands-on experience in analytics and strategy consulting. Over the two-month internship, you will work with real datasets, support research and analysis tasks, and contribute to client-focused projects under the guidance of experienced consultants. This role is ideal for students or recent graduates looking to strengthen analytical skills and gain exposure to consulting environments.
Key Responsibilities
- Collect, clean, and prepare datasets for analysis.
- Conduct exploratory data analysis using Excel, SQL, and Python.
- Support the development of dashboards, reports, and visual insights.
- Assist with research and performance analysis for ongoing consulting projects.
- Identify key trends and insights that support strategic recommendations.
- Document findings and contribute to client-ready deliverables.
Required Qualifications
- Currently studying or recently graduated in Data Science, Business Analytics, Statistics, Computer Science, or a related discipline.
- Strong Excel skills and basic familiarity with SQL or Python.
- Analytical mindset with excellent attention to detail.
- Strong written and verbal communication skills.
- Motivated, organised, and able to work effectively in a remote environment.
Preferred Skills
- Experience with Power BI, Tableau, or other visualisation tools.
- Previous academic or internship experience involving analytics.
- Understanding of statistical concepts or forecasting techniques.
Benefits and Perks
- Paid internship at £15 per hour.
- 20 hours per week, Monday–Friday.
- 2-month duration, fully remote.
- Flexible working schedule.
- Mentorship from experienced data and consulting professionals.
- Exposure to real client projects and strategic analytics.
Position Details
- Compensation: £15 per hour
- Hours: 20 hours per week
- Schedule: Monday–Friday, flexible within business hours
Equal Opportunity Statement
Stratx is an equal opportunity employer. We value diversity and do not discriminate based on race, gender, religion, age, disability, or any legally protected status.
Data Analysis Internship in London employer: Stratx
Stratx is an exceptional employer for those seeking a Data Analysis Internship, offering a fully remote position that allows you to gain invaluable hands-on experience in analytics and strategy consulting from the comfort of your home in London. With a focus on mentorship from seasoned professionals and exposure to real client projects, you will develop your analytical skills in a supportive and flexible work environment, all while earning a competitive hourly wage. Join us to make meaningful contributions and enhance your career prospects in a dynamic and inclusive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analysis Internship in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or even your university alumni. A friendly message can go a long way in getting your foot in the door at companies like Stratx.
✨Tip Number 2
Prepare for those interviews! Research common data analysis questions and practice your answers. We recommend using real datasets to showcase your skills during the interview — it’ll impress them!
✨Tip Number 3
Show off your projects! If you’ve done any relevant work, whether in class or on your own, make sure to highlight it. Create a portfolio or a GitHub page to share your analytical prowess with potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analysis Internship in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analysis Internship. Highlight relevant skills like Excel, SQL, and Python, and showcase any projects or coursework that demonstrate your analytical abilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with Stratx's mission of delivering clear, effective solutions.
Showcase Your Analytical Mindset:In your application, emphasise your analytical mindset and attention to detail. Share examples of how you've approached problem-solving in past projects or studies to show us you’re the right fit for the role.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Stratx
✨Know Your Data Tools
Make sure you brush up on your Excel, SQL, and Python skills before the interview. Be ready to discuss how you've used these tools in your studies or any previous projects. It’s a great way to show your analytical mindset and attention to detail!
✨Showcase Your Projects
Prepare to talk about any relevant projects or coursework that involved data analysis. Highlight specific examples where you collected, cleaned, or analysed datasets. This will demonstrate your hands-on experience and ability to contribute to client-focused projects.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex data insights in simple terms. Think about how you would present your findings to someone without a technical background. This will help you stand out as a candidate who can deliver clear, effective solutions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the internship and the company. Inquire about the types of datasets you’ll be working with or the specific projects you might support. This shows your genuine interest in the role and helps you understand how you can make an impact.
