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- Tasks: Dive into real-world data projects and collaborate with experts in Data Analytics.
- Company: Join Oeson, a global leader in IT and Ed-tech services, dedicated to innovation and talent empowerment.
- Benefits: Enjoy a flexible remote work environment and gain international experience with a global team.
- Why this job: Enhance your skills while working on exciting projects like stock analysis and bike-sharing systems.
- Qualifications: Pursuing any degree with strong communication skills and a passion for learning.
- Other info: This is an unpaid internship, perfect for gaining valuable experience in the field.
About the Company: Oeson is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide.
Job Summary:
Oeson is seeking enthusiastic individuals who are looking to learn with us in the field of Data Analytics while working on live projects internationally. We are not just offering a flexible work environment but also offering to work with people in a global team.
Projects You Will Work On:
Excel project: Visualize hospital dataset using Excel
Statistical project: Analyze live stock price data to study company stock behavior.
EDA case study: Apply EDA techniques in risk analytics for minimizing lending risk.
Bike-sharing system analysis: Examine bike-sharing data and usage patterns.
IPL data analysis: Analyze data from the Indian Premier League cricket tournament.
Data findings communication: Present summarized results and key insights from projects.
Global movie release: Plan to release a movie globally in 2024 by RSVP Movies.
Roles & Responsibilities:
– Collaborate with our esteemed data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.
– Utilize machine learning and data mining techniques to extract insights from large datasets, including Excel interface structure identification.
– Apply Python programming skills for Exploratory Data Analysis (EDA) in real business scenarios, focusing on risk analytics in banking and financial services.
– Design scientific tests and optimize model performance using the latest modeling technologies like no-code databases and data mining.
– Collaborate with a team of experts to build machine learning pipelines for diverse use cases in commerce, financial markets, and procurement.
– Work with internal stakeholders to explore and understand business data, formulate hypotheses, and measure the impact of strategies using techniques like T-tests.
– Solve specific challenges and develop innovative solutions by adapting modeling technologies like bike share systems.
– Learn and apply complex analytical techniques using tools like Tableau.
– Prepare reports and presentations to effectively communicate data analysis processes and results.
Qualifications:
– Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
– Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.
– Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.
Note:
This position is part of our unpaid. Upon application, our team will contact you to proceed with the application details and joining process.
Location:
Remote, United Kingdom
Contact:
To explore the exciting world of Data Analytics with us, please contact us here.
Data Analytics Training & Internship employer: CONNECTMETA.AI
Contact Detail:
CONNECTMETA.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Training & Internship
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Excel, Python, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with online communities or forums related to data analytics. Networking with professionals in the field can provide insights into the industry and may even lead to referrals or recommendations for internships.
✨Tip Number 3
Prepare to discuss real-world applications of data analytics during your interview. Think about how you would approach the projects listed, like analyzing stock prices or bike-sharing data, and be ready to share your thought process.
✨Tip Number 4
Showcase your enthusiasm for continuous learning. Highlight any relevant courses, certifications, or personal projects that demonstrate your commitment to growing your skills in data analytics, as this aligns with Oeson's values.
We think you need these skills to ace Data Analytics Training & Internship
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Oeson's mission and services. Highlight your enthusiasm for their focus on data analytics and how it aligns with your career goals.
Tailor Your CV: Customize your CV to emphasize relevant skills and experiences related to data analytics, such as coursework, projects, or any tools you are familiar with like Python or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your eagerness to learn. Mention specific projects from the job description that excite you and how you can contribute.
Highlight Communication Skills: Since exceptional communication is vital for this role, provide examples in your application that demonstrate your ability to articulate complex ideas clearly, both in writing and verbally.
How to prepare for a job interview at CONNECTMETA.AI
✨Show Your Enthusiasm for Learning
Oeson is looking for individuals who are eager to learn and grow in the field of Data Analytics. Make sure to express your passion for data and your excitement about the opportunity to work on live projects.
✨Highlight Relevant Skills
Discuss any experience you have with data analysis tools like Excel, Python, or Tableau. Even if you’re still learning, showcasing your current skills and willingness to improve can set you apart.
✨Prepare for Technical Questions
Be ready to answer questions related to data preprocessing, visualization, and statistical analysis. Familiarize yourself with concepts like EDA and machine learning techniques, as these will likely come up during the interview.
✨Demonstrate Teamwork and Communication Skills
Since collaboration is key at Oeson, share examples of how you've successfully worked in teams. Highlight your communication skills, especially how you articulate complex ideas clearly and effectively.
