Summary
We are looking for a hands-on, detail-driven Marketing Data & Analytics Specialist to support the Performance Marketing and CRM functions.This role combines data analytics, tracking, reporting, and insights to improve customer acquisition, lifecycle engagement, retention, and marketing ROI. You will play a key role in enabling data-driven decision-making across the funnel.
Job Description
Our ideal candidate is detail-oriented, proactive, and proficient with numbers, making sense of large datasets in a fast-paced environment.
Marketing Performance Analytics
Conduct in-depth analysis of digital channel performance across paid media, website/app, and CRM channels.
Assess channel effectiveness by benchmarking performance against historical trends and external industry indicators.
Develop performance diagnostics frameworks to identify opportunities, risks, and next-step actions.
Consolidate analytics findings into clear insights that can be understood by cross-functional partners.
Data Tracking & Quality Management
Manage data tracking structures including UTM frameworks, pixel setups, tag configurations and event design.
Collaborate with digital and tech teams during website/app updates to ensure tracking integrity.
Troubleshoot data discrepancies across analytics, ad platforms and CRM data sources.
Lead periodic data hygiene audits and implement improvements to prevent data drift.
Dashboarding & Reporting
Build and maintain automated dashboards using Tableau or Looker Studio.
Design reporting structures that clearly visualise KPIs across funnel stages, customer segments, and campaign types.
Own and maintain weekly/monthly reporting cadence with a focus on accuracy and actionable storytelling.
Continuously enhance dashboard UX and data visualisation logic.
Attribution & Measurement
Support attribution modeling using platform-based and multi-touch methodologies.
Analyse channel effectiveness across the customer journey to support budget optimisation.
Partner with internal and external teams to design and execute A/B, multivariate and incrementality tests.
Establish measurement playbooks and standard testing frameworks to improve repeatability and scale.
CRM & Customer Analytics
Conduct RFM analysis, cohort analysis and lifecycle segmentation.
Analyse CRM campaign performance across email, push, app engagement and loyalty touchpoints.
Track lifecycle behaviour including onboarding, activation, conversion, churn and reactivation.
Identify opportunities to improve LTV, provide insights for personalisation and targeting strategies.
Build predictive insights (e.g. propensity, churn indicators) using available data signals to support lifecycle strategies.
Key Requirements
Bachelor's degree in Data Analytics, Engineering, or related fields
4-6 years in marketing analytics, CRM, or similar roles
Hands-on experience with tracking, tagging and analytics tools
Strong proficiency in digital analytics platforms and tools such as GA4, Google Tag Manager, Looker Studio, Tableau, etc.)
Working knowledge of SQL, advanced Excel
Understanding of ad platform metrics, tagging standards, UTMs, CRM analytics
Experience with digital marketing and CRM platforms (e.g. Meta Ads, Google Ads, Salesforce Marketing Cloud, Insider, etc.)
Top Skills
Scoot Singapore, Singapore, SGP Office
Singapore, , Singapore, Singapore, 819663
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