Embark on your career journey with a prestigious research institution as a Graduate Data Analyst. This is an exceptional opportunity for recent graduates looking to gain hands-on experience in data analysis and interpretation. The role is based in our vibrant campus in Vancouver, British Columbia, CA , offering a collaborative and intellectually stimulating environment. You will work closely with senior researchers and data scientists on various projects, assisting in the collection, cleaning, and analysis of large datasets. Your responsibilities will include identifying trends, developing visualizations, and generating reports to communicate findings. You will gain exposure to statistical modeling techniques and data mining methodologies. A key aspect of this role involves learning and applying various data analysis tools and software. The ideal candidate is a highly motivated and detail-oriented individual with a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Proficiency in data analysis tools like Excel, SQL, and ideally some experience with statistical software (R, Python) or data visualization tools (Tableau, Power BI) is required. Excellent analytical and problem-solving skills, along with a genuine curiosity for uncovering insights from data, are essential. Strong communication skills, both written and verbal, are needed to effectively present findings. This internship is designed to provide comprehensive training and mentorship, setting you up for a successful career in data analytics. We are seeking candidates who are eager to learn, contribute actively, and grow within a dynamic research setting. A Bachelor's degree in a relevant quantitative field is mandatory, and candidates currently pursuing or recently completed a Master's degree are particularly encouraged to apply.
Responsibilities: Assist in the collection, cleaning, and organization of research data. Perform data analysis using statistical methods and tools. Develop data visualizations and create reports to communicate findings. Identify patterns, trends, and insights within datasets. Support senior researchers and data scientists in their projects. Learn and apply various data analysis software and techniques. Contribute to the maintenance of data integrity and accuracy. Participate in team meetings and present analysis results. Assist with data-related documentation. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Currently pursuing or recently completed a Master's degree is a plus. Strong understanding of statistical concepts and data analysis principles. Proficiency in Microsoft Excel and SQL. Familiarity with R, Python, or other statistical/data analysis software is an advantage. Experience with data visualization tools (e.g., Tableau, Power BI) is beneficial. Excellent analytical and problem-solving skills. Detail-oriented with strong organizational abilities. Good written and verbal communication skills. Eagerness to learn and contribute in a research environment.
