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- Aufgaben: Dive into real-world data projects and collaborate with a global team.
- Arbeitgeber: Join Refonte AI, a leader in IT and Ed-tech, driving innovation and excellence.
- Mitarbeitervorteile: Enjoy remote flexibility, mentorship, and skill development in data analytics tools.
- Warum dieser Job: Gain hands-on experience, network globally, and make impactful contributions.
- Gewünschte Qualifikationen: Must be enrolled in or recently completed a relevant degree with strong analytical skills.
- Andere Informationen: This is an unpaid internship, ideal for those seeking valuable experience.
Data Analytics Intern (Remote – Austria)
Are you passionate about data and ready to turn insights into action? Join Refonte AI , a globally recognized leader in IT and Ed-tech, as a Data Analytics Intern and embark on a journey to build hands-on expertise in data analytics. This role is perfect for individuals eager to dive into real-world projects while collaborating with a diverse international team.
Refonte AI is a renowned global IT and Ed-tech company dedicated to providing high-quality digital solutions in fields like data science, data analytics, digital marketing, UI/UX design, web development, and app development. Our mission is to drive innovation, uphold excellence, and empower emerging talent through immersive, impactful projects.
Why Join Refonte AI?
Refonte AI’s Global Training & Internship Program (RIGTIP) offers hands-on experience in a flexible, remote setting. As a Data Analytics Intern, you’ll work with a global team across Europe, the Middle East, and Africa, gaining an international perspective on data analytics and boosting your career with invaluable experience.
What’s in It for You?
- Real-World Learning : Participate in real projects that drive impactful results.
- Skill Development : Advance your expertise in data tools and techniques, including Python, SQL, Excel, and Tableau.
- Global Networking : Collaborate with talented professionals and like-minded interns worldwide.
- Mentorship : Receive guidance and insights from seasoned data experts.
- Remote Flexibility : Work remotely from anywhere in EMEA, balancing your learning with other commitments.
Internship Overview
Our internship program is designed to take you from foundational knowledge to advanced skills in data analytics. Through a wide array of projects, you’ll gain practical experience and make data-driven decisions.
Projects You’ll Work On
- Excel Data Visualization : Visualize and interpret complex datasets, such as hospital data, in Excel.
- Stock Market Analysis : Analyze live stock price data to understand market trends and company performance.
- Risk Analytics : Use Exploratory Data Analysis (EDA) techniques to assess and minimize lending risk in finance.
- Bike-Sharing System Insights : Explore patterns in bike-sharing data to inform operational improvements.
- Sports Analytics : Work with IPL cricket tournament data to uncover key performance insights.
- Global Film Release Strategy : Contribute to data-driven planning for a 2024 international movie release.
As a Data Analytics Intern, you will:
- Collaborate with data science experts to collect, clean, and prepare datasets for analysis, sharpening your data preprocessing skills.
- Apply machine learning and data mining techniques to identify insights that support data-driven decisions.
- Leverage Python for Exploratory Data Analysis (EDA), with a focus on risk assessment in banking and financial services.
- Conduct scientific tests, optimize model performance, and work with no-code databases and data mining tools.
- Develop and implement machine learning pipelines for diverse industries, including commerce and finance.
- Create compelling visualizations with Tableau to communicate findings effectively.
- Prepare reports and presentations summarizing insights, results, and actionable recommendations.
Qualifications
- Enrolled in or recently completed a degree program in Data Science, Computer Science, Business Analytics, or a related field.
- Strong analytical skills and attention to detail.
- Proficiency with data tools (Python, SQL, Excel) and visualization tools (Tableau, Power BI).
- Excellent communication skills for articulating complex ideas.
- Ability to work independently and collaboratively in a remote, multicultural team.
Additional Information
This is an unpaid internship within our Data Analytics Training & Internship Program under RGTIP. Our team will provide application and onboarding details after you apply.
Location
Remote (Austria-based applicants preferred)
Thank you for considering Refonte AI for your professional growth in data analytics. We look forward to welcoming you to our dynamic team!
Seniority level
- Internship
Employment type
- Internship
Job function
- Analyst, Consulting, and Engineering
- Education, Education Administration Programs, and Business Consulting and Services
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Data Analytics Intern Arbeitgeber: Refonte Learning
Kontaktperson:
Refonte Learning HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analytics Intern
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as Python, SQL, Excel, and Tableau. Having hands-on experience or projects showcasing your skills with these tools will make you stand out during the selection process.
✨Tip Number 2
Engage with online communities or forums related to data analytics. Networking with professionals in the field can provide insights into current trends and may even lead to referrals for internship opportunities.
✨Tip Number 3
Consider working on personal projects that align with the types of analyses mentioned in the job description, like stock market analysis or sports analytics. This not only enhances your portfolio but also demonstrates your initiative and passion for data analytics.
✨Tip Number 4
Prepare to discuss your analytical thinking and problem-solving approach during potential interviews. Be ready to share examples of how you've used data to drive decisions or improve processes in past experiences or projects.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analytics Intern
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Data Analytics Intern at Refonte AI. Familiarize yourself with the specific projects mentioned in the job description to tailor your application.
Highlight Relevant Skills: In your CV and cover letter, emphasize your proficiency in data tools like Python, SQL, Excel, and Tableau. Provide examples of how you've used these skills in academic or personal projects to demonstrate your hands-on experience.
Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your passion for data analytics and your eagerness to learn. Mention why you are interested in working with Refonte AI and how you can contribute to their projects.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in data analytics.
Wie du dich auf ein Vorstellungsgespräch bei Refonte Learning vorbereitest
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analytics during the interview. Share specific examples of projects or experiences where you utilized data tools like Python, SQL, or Excel, and explain how they fueled your interest in the field.
✨Prepare for Technical Questions
Expect questions related to data analysis techniques and tools. Brush up on your knowledge of Exploratory Data Analysis (EDA), machine learning concepts, and data visualization methods using Tableau. Be ready to discuss how you've applied these skills in past projects.
✨Demonstrate Your Communication Skills
Since you'll be working in a multicultural team, it's crucial to showcase your ability to communicate complex ideas clearly. Practice explaining your past projects and findings in a way that is easy to understand, highlighting your analytical thought process.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship program and the types of projects you might work on. This shows your genuine interest in the role and helps you understand how you can contribute to the team's goals while gaining valuable experience.
