Assistant Manager, Data Analyst at Cygnify

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.