Data Analytics Training & Intern
Job details
Data Analytics Intern (Remote) - United Arab Emirates Refonte AI is a pioneering global IT and EdTech leader, recognized for delivering exceptional technology solutions and skill-building programs in data science, digital marketing, UI/UX design, data analytics, web development, and mobile app development. Our mission is to empower the next generation of data experts and innovators with top-tier training, practical projects, and a global perspective. Position Overview: Data Analytics Intern Refonte AI is inviting ambitious individuals eager to excel in Data Analytics through hands-on experience. Our Data Analytics Internship Program is a unique opportunity to learn the essentials of data analysis and advance to expert-level skills, all while participating in impactful projects that span the globe. This flexible, remote program encourages collaboration with a diverse international team across Oceania, Asia, Europe, and the Americas. Why Join Us
- Hands-On Learning : Work on real-world data analytics projects that directly impact business decisions, providing you with highly marketable skills.
- Mentorship and Guidance : Receive one-on-one mentoring from our experienced data scientists, who will guide you through complex projects and advanced analytical methods.
- Global Collaboration : Connect and work with a diverse team of professionals and peers worldwide, offering an enriching multicultural experience.
- Career Growth : This internship is designed to build your resume with practical data analytics skills and experiences that are in high demand.
- Potential for Advancement : Successful interns may be considered for full-time roles within Refonte AI, giving you a chance to build a lasting career with us.
- Flexible Remote Work : Enjoy the convenience of a remote position that allows you to balance work with your academic and personal commitments.
- Hospital Data Visualization : Use Excel to analyze and present healthcare datasets, enhancing data interpretation skills.
- Stock Price Analysis : Dive into live stock data to identify patterns in company stock performance.
- Risk Analytics EDA : Apply exploratory data analysis techniques to assess lending risks, critical in the finance sector.
- Bike-Sharing System Analysis : Examine and interpret bike-sharing data to understand usage patterns and optimize services.
- IPL Data Insights : Analyze data from the Indian Premier League to uncover player and team performance trends.
- Communication of Key Insights : Synthesize data findings into concise reports and presentations for stakeholders.
- Global Movie Release Planning : Strategize a global movie launch for RSVP Movies, utilizing data analytics for decision-making.
- Partner with data science experts to gather, clean, and analyze extensive datasets, developing strong skills in data preprocessing and visualization.
- Employ data mining and machine learning methods to uncover trends and insights, with projects often involving Excel-based analysis.
- Use Python for Exploratory Data Analysis (EDA) within business contexts, particularly in risk management for banking and finance.
- Develop and fine-tune model performance with cutting-edge tools like no-code databases, optimizing accuracy and efficiency.
- Collaborate on machine learning pipeline construction for varied applications in commerce, finance, and procurement.
- Engage with internal teams to interpret business data, build hypotheses, and measure impacts using statistical methods such as T-tests.
- Address real-world analytical challenges, like bike-sharing system modeling, using advanced data techniques.
- Harness Tableau and similar tools to create impactful visualizations.
- Compile findings into detailed reports and presentations that communicate data processes and key insights effectively.
- Currently enrolled in a degree program, demonstrating a strong commitment to continuous growth and skill development.
- Strong verbal and written communication skills, crucial for collaborating effectively and sharing complex information.
- Proven ability to work both independently and within a collaborative team setting, showcasing adaptability and teamwork.
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