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- 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
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. You can find plenty of free online resources and tutorials to help you get comfortable with these tools before your interview.
✨Tip Number 2
Showcase any relevant projects or coursework you've completed that involved data analysis. Even if they were small, being able to discuss your hands-on experience will demonstrate your enthusiasm and capability.
✨Tip Number 3
Network with professionals in the data analytics field. Join online forums or LinkedIn groups where you can ask questions and learn from others' experiences. This could also lead to valuable connections that might help you during the application process.
✨Tip Number 4
Prepare to discuss how data influences decision-making in businesses. Think of examples where data-driven decisions have led to success, as this shows your understanding of the role's impact and your eagerness to contribute.
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, mention the online courses or resources you've used to learn data analysis. This shows your initiative and eagerness to grow in the field.
Highlight Team Collaboration: Since the role involves working with teams, include examples of past experiences where you've collaborated effectively. This could be from school projects, group work, or any relevant activities.
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 were 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 resources you've used to learn.
✨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 specific analysis task. 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 any collaborative experiences you've had. Share how you communicated insights or worked together to solve problems, showcasing your teamwork skills.
