Senior Data Analyst

Purpose :

• This role will support the data product owners / tech onwer to oversee and guide the wider team, supporting the team in driving key analytical projects and outcomes.
• This is a role that span multiple domains of skills: business knowledge/acumen, data analytics/ engineering, managerial skills.
• Multi tasks that are related to data modeling, BI and data analytics

Responsibilities:

• Senior Data Analyst to work in a cross-functional AGILE manner with stakeholders in defining problem statements, collecting data and building analytical models to make suitable recommendations to drive business targets
• Oversee and develop data applications, infrastructure and pipeline
• Partnering working teams closely to design experiments through use of data and iterate towards the targeted business outcomes
• Effectively bridge the gap between business needs and data science capabilities - to identify areas of opportunities, leveraging on real-time analytics to shape stronger intervention strategies in achieving our business / marketing outcomes
• Provide thought leadership based on current business and industry trends in advanced analytics, and to scale the team's data science and modelling capabilities (desirable)
• Work with stakeholders to measure and report on business outcomes; routinely communicate findings, trends, recommendations and other key indicators to leadership
• Design and build automated reporting dashboards on our data visualization platforms
• Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management
• Support the development and maintenance of an end to end data lifecycle management approach
• Apply a data governance framework, with a focus on continued improvement of data quality

Requirements:

• Degree or above major in Computer Science, Statistics or related disciplines
• At least 5 years experience in data analytics / data engineering / data science areas
• Data science / analytics / public cloud certification is a plus
• Proficient in data analytics / visualization, data engineering with strong working experience in Python, SQL, Hadoop eco-system (Hive, HDFS), Tableau and data pipeline on Cloud
• Experience in delivering complex initiatives working with both cross functional stakeholders across business and tech team
• Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms
• Self-starter, good communication and presentation skill
• Strong sense of self-learning to keep up with latest technology and industry trend
• Good to have related experience in process improvements, AGILE methodologies, project management and leading change management
• Software skills: SQL, Python, SAS, R, BI tools and similar is preferred
• GCP / Salesforce / Azure experience is a bonus
• Other programing experience, e.g. JavaScripts, APIs, Java, is desired
• Excellent command in both written and spoken English and Chinese, including Mandarin

We offer competitive salary package to the successful candidate. If you are interested in joining this exciting team, please send your full resume including your CURRENT and EXPECTED salary for our consideration.