Data Analyst Training Opportunity in Business Analytics
6 days ago
About Oeson Learning:
We are a global IT corporation renowned for our expertise in providing top-notch IT and Ed-tech services. Our specialization spans digital marketing, data science, business analytics, cyber security, UI-UX design, web development, and app development.
Our Mission:
We aim to empower talents worldwide through innovation, excellence, and flexible work environments. We offer opportunities to work with people globally on live projects.
Job Summary:
We are seeking enthusiastic individuals to learn Business Analytics with us while working on international projects. You will have the chance to collaborate with data science experts, collect and analyze datasets, and apply machine learning techniques.
Project Highlights:
- Data Visualization: Work on visualizing hospital dataset using Excel.
- Live Stock Price Analysis: Study company stock behavior by analyzing live stock price data.
- Risk Analytics: Apply EDA techniques to minimize lending risk.
- Bike-Sharing Data Analysis: Analyze bike-sharing data and usage patterns.
- IPL Cricket Tournament Data: Analyze data from the Indian Premier League (IPL) cricket tournament.
- Data Communication: Communicate data findings and insights.
- Movie Release Planning: Plan for the global release of a movie in 2024 by RSVP Movies.
Roles & Responsibilities:
- Collaborate with data science experts to collect, clean, and analyze extensive datasets.
- Apply Python for Exploratory Data Analysis (EDA) in real business scenarios.
- Design scientific tests and optimize model performance.
- Build machine learning pipelines for diverse use cases.
- Explore business data, formulate hypotheses, and measure strategy impacts.
- Develop innovative solutions using modeling technologies.
Requirements:
- Pursuing any degree showing commitment to continuous learning.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Adaptability and strong teamwork capabilities.
Compensation: This is an unpaid position with potential future opportunities. Upon application, our team will contact you to proceed with the application details and joining process.
Location: Remote, Sunderland, United Kingdom
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