Senior Data Analyst
BCW APAC, Hong Kong

JOB DESCRIPTION

As a core senior member in data analytics team, you will oversee analytics solutions, implementing and deploying descriptive, predictive and prescriptive and statistical models. Equipped with strong statistics and computer science fundamentals, you will partake in both machine learning and deep learning projects across APAC, ensure models performance, ongoing maintenance, precision and accuracy.

This role is required to be based in Hong Kong or Singapore and reports to the APAC Director of Digital Innovation Group.

Job Responsibilities

Client Work 90%

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with account teams to generate analysis and insights
• Maintain current knowledge of industry trends, consumer behaviors, research resources and analytics methodologies
• Support DIG senior team members to develop data and insights analysis product offerings
• Work collaboratively with global to align on global standard and knowledge-sharing on best practices, and as of when required with client’s insights team
• Advance our capabilities for how statistics and machine learning should be used in analyzing digital trends, CRM data and quantitative research.
• Initiate/participate in the agency’s own insights reports for industry thought leadership building and marketing
• Be on alert for new business opportunities, with existing clients and potential ones
• Tap into your experience and passions to come up with ideas, or ask thoughtful questions that encourage ideas, to drive our continued growth

Agency 10%

• Maintain current knowledge of industry trends, consumer behaviors, research resources and analytics methodologies
• Support DIG senior team members to develop data and insights analysis product offerings
• Work collaboratively with global to align on global standard and knowledge-sharing on best practices, and as of when required with client’s insights team
• Advance our capabilities for how statistics and machine learning should be used in analyzing digital trends, CRM data and quantitative research.
• Initiate/participate in the agency’s own insights reports for industry thought leadership building and marketing
• Be on alert for new business opportunities, with existing clients and potential ones
• Tap into your experience and passions to come up with ideas, or ask thoughtful questions that encourage ideas, to drive our continued growth

Requirements

Knowledge amp; experiences

• Bachelor’s / Master’s Degree with major in Mathematics, Statistics, Physics, Computer Science, Engineering, Econometrics or related discipline
• Proven experience as a Data Scientist or Data Analyst (5 years of work experience)
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. PowerBI/ Tableau) and data frameworks (e.g. Hadoop)

Working Skills and Soft Skills

• Good command of written and spoken English
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

• Comfortable presenting data and providing recommendations with confidence to senior level stakeholders and other practices, even when there is ambiguity involved
• Comfortable presenting in front of a bigger group of people for trainings, trends updating and pitching etc.
• Innovative mind to explore data-driven solutions and future development
• Self-motivated for excelling and leading
• Good interpersonal communication skill for working directly with clients, and working with different agency teams

Job Rewards and Benefits