Job Descriptions:

• Define problem statement, decomposition, and solution through data analysis
• Work with stakeholders to scope and define the needs of business
• Ensure marketing and overall business efforts are focused on delivering impactful and actionable outcomes
• Maintain and improve data management processes and accuracy
• Manage data engineering including, data source integration, data pipelining, data wrangling and data analysis
• Collaborate across cross-functional stakeholder teams to improve processes and help stakeholders become more data savvy.
• Develop and conduct experiments to validate findings from observational research.
• Communicate and visualise insights to multiple levels of stakeholders with clarity, informed decision-making.
• Lead and conduct omni-channel data research and analysis to identify opportunities
• Design customer cohorts to be targeted for actionable O2O campaigns
• Lead continuous and consistent testing and learning to maximize consumers’ lifetime value in maximizing KPI improvement, ROI, and business impact.
• Generate and deliver compelling insights to business leaders to inform strategic decision on products initiatives
• Analyze data from Oracle platform to inform business development and campaigns
• Produce CRM initiatives and its execution
• Develop consumer analytics and behavior report based on common characteristics (purchase history, consumer behavior and demographics)
• Analyze consumer journey mapping and business touch-points to identify commercial opportunities.
• Oversee the creation of models against lifetime value, retention, churn, loyalty, and advocacy programs.

Requirements:

• 3 years of experience as data scientist or analyst
• Degree in Statistics, Computer Science, Mathematics, or a related field.
• Experience in mining and using data to facilitate business decisions
• Experience in big data and cloud platforms (Oracle is preferred) to deploy large-scale data science solutions.
• Experience in Marketing Analytics (Google Analytics, Facebook Analytics, SaaS mobile marketing)
• Experience in SQL and statistical analysis
• Experience working in ecommerce, marketing, customer analytics space, business analysis or business intelligence
• Possess the ability to ask the right questions, translate data to business insights and communicate technical information to the business audience
• Customer-service oriented, self-motivated, proactive, thirsty for knowledge, critical attention to detail, creative problem-solver.
• Possess strong analytical mind, business acumen, critical thinking and data driven mindset
• Possess strong math skills (e.g. statistics, algebra)
• Skillful in written and verbal communication with experience in report presentations to top management stakeholders
• Possess the ability to work with strategic thinking, and motivated learner
• Excellent in Microsoft Excel and PowerPoint
• Strong in project management and planning skills.
• Experience in business intelligence, business analytics, data mining and insights, trend Analysis , forecasting and pattern recognition
• Experience with structured data and semi-structured text or Excel files