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Jobs/Data Analyst Role/cygnify - Assistant Manager, Data Analyst
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cygnify

cygnify - Assistant Manager, Data Analyst

Singapore3d ago
In OfficeMidAPACDiagnosticsArtificial IntelligenceData AnalystAdministrative AssistantSQLTableauPythonTeam LeadershipCustomer Onboarding

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Requirements

• 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. • 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.

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