Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into data by collecting, cleaning, and analysing real datasets.
- Company: Join a reputed IT company and gain hands-on experience in data analytics.
- Benefits: Enjoy a flexible remote internship with a 3-month duration.
- Why this job: Make a real impact while collaborating with professionals and enhancing your skills.
- Qualifications: Open to students or recent grads in STEM, business, or economics; beginners welcome!
- Other info: No need to be an expert; just bring your enthusiasm for learning and analysis.
Summer Internship – Data Analytics (Beginner to Intermediate Levels Welcome)
Duration: 3 Months | Remote | Flexible Start
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 potential to contribute to our team.
✨Tip Number 4
Stay updated on current trends in data analytics and how businesses use data to drive decisions. This knowledge will not only help you in interviews but also show us that you're genuinely interested in the field and ready to make an impact.
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 explain why you're interested in this internship. Share any personal projects or experiences that demonstrate your analytical skills.
Showcase Your Learning Journey: If you're self-taught or have taken online courses, mention these in your application. Highlight specific skills or knowledge you've gained that are relevant to the role.
Prepare for Potential Questions: Think about how you would answer questions related to data analysis, such as your approach to cleaning datasets or finding trends. Be ready to discuss your thought process and any tools you’ve used.
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 a data-related problem. 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.
