At a Glance
- Tasks: Collect, clean, and analyse data to drive impactful business decisions.
- Company: Join a fast-growing stealth startup with a dynamic team.
- Benefits: Competitive stipend, remote work, and potential for full-time role.
- Other info: Opportunity to learn quickly and grow within a high-impact team.
- Why this job: Gain hands-on experience and make a real impact in a startup environment.
- Qualifications: Pursuing or completed degree in Data Analytics or related field.
The predicted salary is between 20000 - 30000 £ per year.
We are hiring on behalf of a fast-growing Stealth Startup looking for a curious and detail-oriented Data Analytics Intern. This is an exciting opportunity to work closely with founding teams and gain hands-on experience in extracting insights, building dashboards, and driving data-backed decision-making in a high-impact environment.
Key Responsibilities
- Collect, clean, and analyze structured and unstructured data
- Perform exploratory data analysis (EDA) to identify trends and patterns
- Build and maintain dashboards and reports for business insights
- Write efficient SQL queries to extract and manipulate data
- Assist in defining KPIs and metrics for business performance
- Collaborate with product, marketing, and business teams
- Present insights in a clear and actionable manner
Required Qualifications
- Currently pursuing or recently completed a degree in Data Analytics, Statistics, Mathematics, Computer Science, or related field
- Strong knowledge of Excel/Google Sheets
- Basic proficiency in SQL
- Familiarity with Python (Pandas, NumPy) or similar tools
- Understanding of data visualization tools (Tableau, Power BI, etc.)
- Strong analytical and problem-solving skills
Preferred Qualifications
- Experience with real-world datasets or analytics projects
- Knowledge of business metrics and performance tracking
- Exposure to A/B testing or statistical analysis
- Familiarity with startup or fast-paced environments
Key Skills
- Data Analysis & Interpretation
- SQL & Data Querying
- Dashboarding & Visualization
- Critical Thinking
- Communication & Storytelling with Data
What We’re Looking For
- A data-driven thinker who can translate numbers into meaningful insights
- Someone who thrives in a fast-paced, ambiguous startup environment
- High ownership and willingness to learn quickly
- Strong attention to detail
Location
Remote
Duration
Internship (3–6 months, with potential extension or full-time opportunity)
Compensation
Competitive stipend (based on experience and client budget)
Why Join?
- Work directly with a stealth-mode startup solving real-world problems
- Gain hands-on experience with live data and business decision-making
- Opportunity to convert into a full-time role based on performance
Locations
Data Analyst Intern in Cheshire, Warrington employer: Stealth
Contact Detail:
Stealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Intern in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any SQL queries you've written. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling problems, as this will demonstrate your analytical skills and how you approach challenges.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Data Analyst Intern in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst Intern role. Highlight relevant skills like SQL, data visualisation tools, and any projects you've worked on that showcase your analytical abilities. We want to see how you fit into our fast-paced environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your background aligns with our needs. Be sure to mention any experience with real-world datasets or analytics projects – we love seeing that!
Showcase Your Projects: If you've worked on any data-related projects, whether in school or on your own, make sure to include them in your application. We’re keen to see how you’ve applied your skills in practical situations, especially if they involve EDA or dashboard creation.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Stealth
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get comfortable with Excel or Google Sheets. Familiarity with Python libraries like Pandas and NumPy will also give you an edge. Be ready to discuss how you've used these tools in past projects or coursework.
✨Showcase Your Analytical Mindset
Prepare to talk about your experience with exploratory data analysis (EDA). Think of specific examples where you identified trends or patterns in data. This will demonstrate your ability to think critically and derive insights from numbers.
✨Dashboards and Visualisation Know-How
Familiarise yourself with data visualisation tools like Tableau or Power BI. If you have any projects where you've built dashboards, be ready to share them. Highlight how you presented data in a clear and actionable manner to help drive decisions.
✨Embrace the Startup Vibe
Since this role is in a fast-paced startup environment, show your enthusiasm for learning and adapting quickly. Share experiences where you've thrived under pressure or tackled ambiguity. This will show that you're not just a data whiz but also a great fit for their dynamic culture.