Published 1 week ago

Senior Data Analyst

Reap Limited

Job Description

The client:

The technology arm in a well-known conglomerate in Hong Kong

What can the client offer?

•Valuable working experience in a sizable organization

•Attractive benefit package

What are your responsibilities?

•Create holistic AI and machine learning solutions aimed at optimizing supply chains, offering valuable insights from analytics, and uncovering potential business opportunities.

•Develop Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to highlight proposed solutions while guiding their creation to illustrate feasibility and potential effects.

•Leverage data analytics to strategically assist business units by emphasizing revenue growth, cost savings, and operational efficiency, while actively engaging in discussions to offer guidance on the best analytical approaches.

•Foster a Data Product-Driven Mind-set that prioritizes achieving specific product goals and resolving business challenges while spearheading the creation of solutions that meet market demands.

What skills/qualification will you need?

•Bachelor degree or higher in computer science, data science, or a related field.

•At least 5 years of experience in data analytics, machine learning, data science, or a related field.

•Possess advanced analytical skills, utilizing appropriate algorithms and methodologies for effective problem-solving and decision-making, combining logic and creativity.

•Proficiency in Python and SQL is essential and experience in multimodal models and LangChain is a plus.

•Good knowledge of machine learning algorithms and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow, etc.).

•Familiarity with data visualization tools, ideally Power BI or Tableau.

Who would be suitable for the position?

•Good communication and interpersonal skills

•Hardworking, willing to learn and take responsibilities

Job Particulars

Job source
eFinancialCareers
Job reference
23345557
Date published
22 Nov 2025
Job keywords
Technology, Data management, Fintech, Credit Score & Analytics
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