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Data Analyst Internship Opportunity
2 months ago
About NDAX Canada Inc.
NDAX Canada Inc. is a leading cryptocurrency trading platform in Canada, recognized for its innovative approach to digital finance. Our mission is to empower Canadians to unlock the full potential of digital finance.
Our Team
We have a multidisciplinary team with diverse backgrounds, including finance, technology, engineering, compliance, marketing, and more. Our team is dedicated to delivering exceptional results and driving innovation in the fintech industry.
Job Description
We are seeking a highly motivated student to join our team as a Data Analyst Intern. This paid position is an excellent opportunity for a student to gain hands-on experience in data analysis and contribute to the growth of our company.
Responsibilities:
- Clean, transform, and analyze large datasets to extract insights and identify trends.
- Assist in the development and implementation of data models and algorithms.
- Conduct statistical analysis and hypothesis testing to support decision-making processes.
- Create data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams to support various data-driven initiatives.
Requirements:
- Working towards a bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Must be in the 3rd or 4th year)
- Strong analytical and problem-solving skills
- Proficiency in SQL, Python, and/or R
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Knowledge of AI tools for data science like ChatGPT and Copilot
- Understanding of statistical concepts and techniques
- Experience with data cleaning, manipulation, and analysis
- Knowledge of machine learning concepts
- Strong attention to detail and excellent organizational skills
- Ability to work in a collaborative team environment
- Excellent communication and presentation skills
What We Offer:
- Hourly rate of $18
- Opportunity to network with industry experts and build valuable connections
- Technically strong, friendly, approachable people to work with