Assistant Manager, Data Analyst

About this role

Role: Assistant Manager, Data Analyst

Location: Singapore

Responsibilities:

Customer Experience & Journey Analytics

- End-to-end analytics for priority journeys (e.g., Voice of Customer, Feedback acquisition, onboarding, billing, service, retention).

- Build CX scorecard Dashboards linking journey health to business outcomes such as churn and ARPU.

- Create diagnostic drill-downs to identify root causes and quantify improvement opportunities.

- Train and Maintain AI/LLM models for auto topic classification among Customer Feedback.

- Map data according to key journeys to identify moments of drop-off and run data driven conversion rate optimization projects.

Data Collection, Preparation & Quality

- Use SQL to source data across platforms and ensure data accuracy and completeness.

- Define and enforce data quality checks and documentation for analytical datasets.

Visualization & Self-Service Intelligence

- Develop and maintain Tableau dashboards for executives and journey owners.

- Standardize metric definitions and ensure consistent usage across the organization.

Advanced Analysis & Experimentation

- Use Python for statistical analyses, modelling, and automation.

- Automate recurring reporting processes

Insights to Action & Business Engagement

- Run structured insight reviews with Journey Owners and leadership teams.

- Translate analysis into prioritized recommendations with measurable outcomes.

Collaboration & Governance

- Work with Data team, BI Lead and Data Engineering on data models, governance, and access.

- Key data and customer insights partner to the CX, Product and Channel teams.

- Uphold privacy and compliance standards.

Requirements:

- Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field. Master’s degree (preferred) in a related field.

- 4–7+ years of experience in analytics/BI

- Advanced SQL, Tableau, and Python. Proficiency in SQL for data extraction and manipulation.

- Expertise in Tableau for data visualization. Ability to use Python for advanced statistical analyses.

- Preferred certifications include Tableau Desktop Associate or Professional, and Python programming certifications like PCEP or PCAP.

- Excellent communication and storytelling skills.

- Team player with a proactive a􀆫tude. Adaptability to changing business requirements.