Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Work with real datasets to turn data into actionable insights.
- Company: Join a reputed IT company and gain valuable experience.
- Benefits: Enjoy a flexible remote internship with a 3-month duration.
- Why this job: Make a real impact while collaborating with diverse teams.
- Qualifications: Ideal for students or recent grads in STEM, business, or economics.
- Other info: No need to be a pro; just bring your eagerness to learn!
Summer Internship – Data Analytics (Beginner to Intermediate Levels Welcome)
Duration: 3 Months | Remote | Flexible Start
Hiring Partner: HIRIST – IT Recruitment Partner
Client: Reputed IT Company (Name confidential)
Are you curious about how data drives decision-making in real businesses? Whether you’re just stepping into analytics or looking to apply what you’ve learned, this internship offers the chance to work with real datasets, real teams, and real impact.
HIRIST is hiring Data Analytics Interns for a reputed IT client, where you’ll help turn raw data into actionable insights across live business projects.
What You’ll Work On:- Collect, clean, and organize large datasets for analysis
- Use tools like Excel, SQL, or Python to find trends and patterns
- Build charts, dashboards, and reports to support data-driven decisions
- Collaborate with analysts, marketers, and product teams to deliver insights
- Help monitor key performance indicators (KPIs) and data pipelines
- Students or recent grads from STEM, business, or economics backgrounds
- Self-taught learners who’ve dabbled in data analysis using online tools
- Beginners with coursework or small projects in analytics or data handling
- Intermediate-level learners looking for real-world exposure
You don’t need to be a data pro — just show us you’re eager to learn, analyze, and contribute.
Data Analytics Intern employer: Hirist
Contact Detail:
Hirist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Intern
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, like Excel, SQL, and Python. Consider taking a short online course or tutorial to brush up on your skills, as this will show your commitment and readiness to dive into the role.
✨Tip Number 2
Engage with data analytics communities online, such as forums or social media groups. Networking with professionals in the field can provide insights into the industry and may even lead to valuable connections that could help you during the application process.
✨Tip Number 3
Prepare to discuss any relevant projects or coursework during your interview. Even if they are small, being able to articulate what you learned and how you applied your skills will demonstrate your enthusiasm and capability for the internship.
✨Tip Number 4
Research the company and its projects to understand their data needs. Tailoring your conversation to how you can contribute to their specific goals will make you stand out as a candidate who is genuinely interested in the role.
We think you need these skills to ace Data Analytics Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant coursework, projects, or skills related to data analytics. Mention tools like Excel, SQL, or Python if you have experience with them.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for data analytics and how this internship aligns with your career goals. Share specific examples of your interest in data-driven decision-making.
Showcase Your Projects: If you've completed any projects or coursework in data analysis, include them in your application. Briefly describe what you did, the tools you used, and the outcomes.
Highlight Your Eagerness to Learn: Since the internship welcomes beginners, emphasise your willingness to learn and adapt. Mention any online courses or resources you've used to develop your skills in data analytics.
How to prepare for a job interview at Hirist
✨Show Your Curiosity
Express your genuine interest in how data influences decision-making. Prepare examples of how you've used data in past projects or studies, even if they're small. This will demonstrate your eagerness to learn and contribute.
✨Familiarise Yourself with Tools
Brush up on the tools mentioned in the job description, like Excel, SQL, and Python. Be ready to discuss any experience you have with these tools, and if you're self-taught, share what you've learned and how you've applied it.
✨Prepare for Practical Questions
Expect questions that assess your analytical thinking. You might be asked to interpret a dataset or explain how you would approach cleaning data. Practising with sample datasets can help you feel more confident.
✨Highlight Team Collaboration
Since the role involves working with various teams, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated with others to achieve a common goal, especially in any academic or project settings.
