Job title: Data Science Analyst
Job type: Permanent
Emp type: Full-time
Location: Hong Kong
Job ID: 32130

Job Description

An exciting opportunity has emerged for a Data Science Analyst to lead the development and execution of enhanced analytical capabilities for our client. This role supports the ongoing digital transformation efforts, driving operational improvements and decision-making through advanced data analytics, machine learning, and AI technologies.

Key Responsibilities

  • Lead the development and enhancement of the NOVA Analytics Platform.
  • Plan, design, and execute the creation of analytics dashboards and solutions aligned with the Analytics Roadmap. This includes:
  • Data sourcing, cleaning, and preparation.
  • Model development, validation, and optimization.
  • Prototyping and testing analytics solutions with end users.
  • Use data mining techniques to identify opportunities for deeper insights and actionable data-driven solutions.
  • Stay updated on the latest tools and techniques in data science to proactively drive improvements and innovation.
  • Collaborate with internal stakeholders to understand business needs and deliver analytics solutions that provide actionable insights.
  • Build intuitive dashboards and generate ad-hoc insights that are easily understood by non-technical stakeholders.
  • Engage with senior leadership to communicate key findings and recommend data-driven strategies.

Qualifications & Experience

  • 3+ years of experience in a Data Analytics or Data Science role, with a focus on leveraging large datasets and conducting hands-on statistical analysis.
  • Proficiency in database technologies (i.e. SQL, NoSQL, Graph Databases).
  • Strong experience with data science programming frameworks such as Python or R.
  • Hands-on experience with data visualization tools, such as Tableau.
  • Ability to develop actionable insights that drive measurable business outcomes.
  • Solid foundation in statistical analysis, with the ability to select and apply the correct tools and methodologies.
  • Excellent communication and presentation skills, particularly in explaining technical concepts to non-technical audiences.
  • Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field

Desirable Qualifications

  • Certifications in Tableau or native-cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with Generative AI models, including hands-on usage and tuning.
  • Demonstrated experience in end-to-end machine learning projects.
  • Exposure to cloud and big data technologies (e.g., AWS, Azure, Google Cloud, Spark, Hive, Presto).
  • Strong self-motivation and ability to independently research and adopt new data science technologies.