Responsibilities:

Assemble and manage large, complex data sets from a variety of sources.

Perform data preparation and mining to uncover opportunities through analytics.

Conduct exploratory data analysis (EDA) and iterate quickly to refine problem statements and uncover actionable insights.

Translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders to support data-driven decision-making.

Assist in building and enhancing data science infrastructure, tools, and frameworks for efficient analysis, experimentation, and deployment of models.

Ensure adherence to data governance and compliance policies while fulfilling data extraction, reporting, and dashboard development requests.

Requirements:

Bachelor's or Master's degree in a quantitative discipline such as Statistics, Biomedical Informatics, Computer Science, Applied Mathematics, or related fields.

At least 3 years of relevant industry experience preferred.

Proficient in programming languages such as Python, R, or similar.

Solid working knowledge of data analysis tools, databases, and data manipulation techniques.

Strong problem-solving skills and experience translating data into meaningful business insights.

Self-motivated, with a proactive approach and a positive can-do attitude.

Comfortable working with diverse and disparate data sets.

Demonstrates sound judgment, reliability, and the ability to work with minimal supervision.

Collaborative team player who can also work independently.

Excellent communication and interpersonal skills, with the ability to engage effectively with a range of stakeholders.

?To apply, please visit www.gmprecruit.com and search for Job Reference: L34VXR3W

To learn more about this opportunity, please contact Yingying at yingying.lai@gmprecruit.com

We regret that only shortlisted candidates will be notified.