What you will do
Provide ad- hoc reporting and data analysis support as required to address immediate business needs;
Conduct comprehensive analyses of customer journey data to identify pain points, trends, and opportunities for improvement;
Stay abreast of industry trends and best practices in customer experience analytics and incorporate them into our processes and strategies.
Monitor data quality to ensure reliability and relevance for decision- making purposes;
Design and implement solutions with scalability and automation in mind to empower stakeholders with actionable insights;
Drive customer segmentation strategies to personalize user experiences and optimize engagement and retention efforts;
Utilize statistical methods and tools to analyze complex data sets and derive meaningful insights;
Develop and maintain automated dashboards to monitor performance metrics related to customer experience;
Collaborate with cross- functional teams to consolidate requirements, understand business needs, and prioritize initiatives aimed at enhancing customer satisfaction;
What you will need
Minimum Qualifications:
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics,Information Management; or University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields.
Key Skills/Experience Required:
Critical:
Excellent analytical skills and problem- solving aptitude.
Ability to collect, organize, and analyze significant amounts of data with high attention to detail.
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations;
Strong spoken and written communication skills (in both English and Vietnamese) to collaborate with team members and to explain findings clearly to internal team as well as stakeholders;
Experience writing complex queries in SQL or other SQL- based languages;
Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities;
Foster strong relationships with business units by establishing a culture of support and shared accountability within the team;
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable;
Self- learner and quick to adopt new knowledge and technical skills;
Effectively collaborate within a team as well as work independently.
Desirable:
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.);
Solid technical/functional knowledge in statistics.
