Description
Duties and Responsibilities:
- Identify, analyze, and interpret trends or patterns in complex datasets to develop a thorough understanding of AirAsia Reward’s products, users, and acquisition channels
- Help execute projects to drive insights that lead to customer growth and help improve conversion funnel
- Work closely with cross functional stakeholders to anticipate analytics needs and to quantify the impact of existing features, future product changes, and marketing campaigns
- Build custom dashboards to make key performance indicators and insights available to the relevant business units
- Monitor, optimize, and report on marketing and growth metrics and A/B test results
- Effectively present and communicate analysis & recommendations to assist in driving business decisions
Requirements and Qualifications:
- BS/MS/PhD in a Business, IT, Mathematics, Science or Engineering discipline
- 3 to 5 years relevant experience beyond first degree
- Strong SQL skills for data analytics and a good understanding of statistics
- Good working knowledge of productivity tools such as Google Suite, Git, Jira, Confluence
- Ability to translate business requirements into non-technical, layman terms
- Able to operate under pressure and change
- Ability to manage, develop and improve internal processes projects through redesigning, automation, and optimization
- Adeptly present trends and opportunities for growth through analysis of complex data sets to stakeholders of various seniority, adapting your presentation material to suit the relevant audience
- Willing to collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs
- Openness to experimenting with new techniques and new ways of working
- High adherence to Data Governance as data auditor for reports/dashboards, analytics and insights
- Frequent training of end users on new reports and dashboards
- Applicants with experience using Google Cloud Platform are highly favored
Tagged as: data analyst
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