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- Tasks: Join us as a Data Analytics Intern, diving into data interpretation and real-world projects.
- Company: Oeson Learning empowers individuals with skills for career success through hands-on training and internships.
- Benefits: Enjoy certificates, LinkedIn profile building, and personal branding support while working remotely.
- Why this job: Gain practical experience, learn from industry experts, and enhance your analytical skills in a supportive environment.
- Qualifications: No prior experience needed; just a strong interest in Data Analytics and a willingness to learn.
- Other info: This is an unpaid internship aimed at passionate learners eager to build their portfolios.
Oeson Learning is a dynamic and innovative career growth platform under Oeson Private Limited. Our mission is to empower professionals and individuals with the skills and knowledge they need to excel in their careers. We offer specialized, hands-on training and internship programs that combine real-world experience with cutting-edge industry practices.
As a Data Analytics Program Intern at Oeson Learning, you will embark on an intensive three-month training and internship program designed to provide both theoretical knowledge and practical experience in the field of Data Analytics. This role is perfect for individuals who are eager to dive deep into data interpretation, business intelligence, data visualization, and analytical tools used in real-world applications.
Key Responsibilities- Participate in hands-on training covering essential Data Analytics concepts.
- Work alongside industry experts on real-time projects, gaining practical experience and insights.
- Apply your learning in parallel with an internship, where you will analyze real-world datasets and contribute to business-driven insights.
- Use industry-leading tools to process, analyze, and visualize data.
- Collaborate with peers and mentors to enhance your learning and analytical skills.
- Receive continuous feedback and support to refine your expertise in data handling, reporting, and decision-making.
- Fundamentals of Data Analytics: Data collection, data cleaning, and exploratory data analysis (EDA).
- Business Intelligence & Decision-Making: How data drives business strategies and improves decision-making.
- Data Visualization: Creating impactful reports and dashboards using Tableau, Power BI, and Matplotlib.
- SQL & Database Management: Querying databases and retrieving insights from structured datasets.
- Excel for Analytics: Advanced Excel techniques for data processing and reporting.
- Industry Applications: How Data Analytics is transforming industries like finance, marketing, healthcare, and e-commerce.
- Certificate of Internship
- Certificate of Training
- Letter of Recommendation
- LinkedIn Profile Building
- Personal Branding
- Resume Building
- Strong interest in Data Analytics and Business Intelligence.
- Eager to learn and take on challenges, no prior experience required.
- Basic understanding of Excel, SQL, or Python is a plus (but not mandatory).
- Enthusiastic about gaining hands-on experience and working on real-world projects.
Workplace Type: Remote
Location: UK
This is an unpaid internship, designed for individuals who are truly passionate about learning and gaining hands-on experience in Data Analytics. If you are eager to upskill, work on industry-level projects, and build a strong portfolio, we encourage you to apply!
You can write to us on arati.chauhan@oeson.in.
Data Analytics Trainee & Intern employer: Oeson Learning™
Contact Detail:
Oeson Learning™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Trainee & Intern
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Tableau, Power BI, and SQL. Having a basic understanding of these tools will not only boost your confidence but also show your enthusiasm for the role during any discussions.
✨Tip Number 2
Engage with online communities or forums related to Data Analytics. This can help you gain insights into industry trends and best practices, and you might even make connections that could lead to recommendations or referrals.
✨Tip Number 3
Prepare to discuss real-world applications of data analytics in various industries. Being able to articulate how data drives business decisions will demonstrate your understanding and passion for the field during interviews.
✨Tip Number 4
Consider creating a small project or case study using publicly available datasets. This hands-on experience will not only enhance your skills but also provide you with concrete examples to discuss during your interview.
We think you need these skills to ace Data Analytics Trainee & Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant skills or experiences related to Data Analytics. Even if you don't have direct experience, showcase your enthusiasm for learning and any related coursework or projects.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for Data Analytics and your eagerness to learn. Mention specific aspects of the internship that excite you, such as working with industry experts or using tools like Tableau and SQL.
Showcase Your Skills: If you have any basic knowledge of Excel, SQL, or Python, be sure to mention it in your application. Highlight any projects or coursework where you've applied these skills, even if they were informal.
Follow Up: After submitting your application, consider sending a polite follow-up email to express your continued interest in the position. This can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Oeson Learning™
✨Show Your Passion for Data Analytics
Make sure to express your enthusiasm for data analytics during the interview. Share any personal projects or experiences that sparked your interest in the field, even if they are informal. This will demonstrate your eagerness to learn and grow in this area.
✨Familiarise Yourself with Key Tools
Before the interview, take some time to research and understand the tools mentioned in the job description, such as Tableau, Power BI, and SQL. Being able to discuss these tools and how you might use them in real-world scenarios will show that you're proactive and ready to dive into the role.
✨Prepare Questions for Your Interviewers
Having thoughtful questions prepared can set you apart from other candidates. Ask about the types of projects you might work on, the team dynamics, or how feedback is provided during the internship. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Highlight Your Willingness to Learn
Since this position is aimed at individuals eager to learn, emphasise your adaptability and willingness to take on challenges. Share examples of how you've successfully learned new skills in the past, whether through coursework, self-study, or other experiences.
