This position offers the opportunity to work alongside experienced professionals, contributing to real-world projects while enhancing your analytical skills.
We are seeking a motivated 2rd-year or 3rd year student with a background in a relevant program to assist our team in uncovering valuable insights from data. If you are a self-motivated individual with a passion for data-driven decision-making, this is the perfect opportunity to apply your skills in a corporate
environment.
Responsibilities:
Work with our clinical research team to identify unmet data needs.
Utilize Qlik, power BI and other data visualization tools to analyze complex datasets and generate insightful visual representations.
Assist in data preprocessing, cleaning, and validation to ensure the accuracy and reliability of analysis.
Conduct exploratory data analysis to identify trends, patterns, and anomalies that could impact business decisions.
Support the development of dashboards, reports, and presentations to communicate findings effectively to stakeholders.
Stay up to date with industry trends and best practices in data analysis to continuously enhance your skills.
Currently enrolled as at least 2rd-year student in a relevant program such as Data Science, Industrial Engineering, Computer Science, Economic, or a related field.
Proficiency in using data visualization tools.
Knowledge of BI and Big Data solutions.
Knowledge with ETL tools.
Strong analytical capabilities with the ability to interpret complex data and extract meaningful insights.
Self-learner who is proactive in seeking out new knowledge and skills.
Solid understanding of data preprocessing, cleaning, and basic statistical concepts.
Excellent communication skills to convey technical information to both technical and non-technical audiences.
