Business Analytics Specialist

Business Analytics works in collaboration with Demand Planning Leader to execute projects that will tackle several critical operational challenges for be Group among other key operational pillars with a deep analytical approach. We aim to ensure an optimal user experience when using be Group‘s service in Vietnam.

Key Responsibilities

Feature Performance Analysis

 

• Measure the performance of each feature and mechanic: adoption, engagement, retention, and impact on order frequency and spend.
• Run cohort, retention, and churn analyses by membership plan and tier.
• Evaluate promo dependency and the effectiveness of reward mechanics (incremental impact, ROI)

Experimentation

 

• Design and analyze A/B tests and pilots for new features: hypothesis, sample size, success metrics, test duration.
• Interpret results and give clear recommendations: scale, iterate, or stop.

UX/UI and User Journey Analysis:

 

• Build funnel analyses for key flows: discovery, plan purchase/enrollment, benefit redemption, renewal.
• Identify drop-off points and friction in the app, and recommend improvements together with Product and Design.
• Combine quantitative data (event tracking, session data) with qualitative input (user feedback, surveys, customer support tickets, app reviews).

Reporting

 

• Build and maintain product health dashboards (Superset/Data Studio/G Suite).

Requirements:

Must-have

• 2-4 years of experience as a Product Analyst, Data Analyst, or Growth Analyst (ride-hailing, e-commerce, fintech, or super app background preferred).
• Strong SQL skills: joins, window functions, and working with large event datasets.
• Solid grasp of product analytics methods: funnel, cohort, retention, and segmentation analysis.
• Working knowledge of statistics for A/B testing (significance, sample size, confidence intervals).

Nice to have

 

• Experience with loyalty, membership, or subscription products.
• Python or R for advanced analysis.
• Understanding of unit economics (contribution margin, LTV)