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Company Overview
A leading global financial institution is seeking a Digital Data & Analytics Lead to drive data-driven decision-making and analytics excellence. The organization provides comprehensive banking and financial services while leveraging digital analytics, customer insights, and advanced technologies to optimize client acquisition, engagement, and retention across web and mobile channels.
Summary
The Digital Data & Analytics Lead will oversee strategy and execution of digital analytics across web and mobile platforms, translating insights into measurable business outcomes such as conversion uplifts, engagement growth, and revenue impact. The role involves collaboration with MarTech, Product, Channels, CVM, and Data teams to operationalize analytics across owned and paid channels, aligned with Singapore MarTech stack and enterprise operating models.
Key Responsibilities
Strategy
Act as Product Owner for digital analytics; maintain backlog, OKRs, and quarterly roadmap
Coach analysts and uplift analytics literacy across squads
Business
Digital Funnel & Journey Optimization: End-to-end funnel analytics including flow, fallout, cohort analyses; identify friction, quantify drop-off, and size opportunities
KPI Management: Build and maintain KPI trees for acquisition, onboarding, activation, transact, cross-sell, and retention stages with leading indicators and targets
Collaboration: Partner with Channel Owners and UX teams to prioritize fixes and experiments based on ROI-backed business cases
Mobile App Analytics
Define and govern mobile event taxonomy; monitor lifecycle metrics such as activation, retention, DAU/WAU/MAU, and feature adoption
Instrument feature launches and measure impact, providing iteration recommendations
Experimentation & Personalization
Establish robust A/B and multivariate testing frameworks, define sample sizing, guardrails, and experiment scorecards
Define unified audience strategies and high-value segments for activation in owned and paid channels
Partner with Marketing Ops to connect CDP segments to activation endpoints, monitoring match rates, frequency caps, and compliance
Attribution & Paid Media Analytics (Optional)
Integrate paid media signals into Adobe Analytics to evaluate campaign ROI and onsite contribution
Insight to Action, Dashboards & Storytelling
Build executive-ready scorecards and self-serve dashboards in MicroStrategy
Conduct monthly Digital Performance Reviews with hypotheses, experiments, learnings, and revenue/ROTE outcomes
Data Foundations, Quality & Governance
Define event-level quality checks, tagging standards, and release checklists
Ensure compliant data usage and consent handling aligned with PDPA/MAS TRM and Group policies
Processes, People & Risk Management
Update, share, and execute end-to-end analytics processes
Collaborate effectively to deliver agreed KPIs and adopt continuous learning of analytics tools
Ensure adherence to security, data privacy, and governance guidelines
Regulatory and Business Conduct
Maintain exemplary conduct per Group Values and Code of Conduct
Ensure compliance with applicable laws, regulations, and ethical standards
Identify, escalate, and mitigate risk, conduct, and compliance matters
Key Stakeholders
Work closely with SG Wealth & Retail Banking product heads, Digital Sales & Marketing teams, Digital Platform, Client Experience, and technology teams for retail and wealth product analytics
Measures of Success (6–12 Months)
Conversion uplift: +X% improvement on priority funnels
Experiment velocity: ≥N experiments/quarter with ≥60% clean execution rate
Analytics adoption: ≥A monthly active users on MicroStrategy dashboards; NPS ≥B
Ideal Candidate
7+ years in web/app analytics with deep expertise in Adobe Analytics
Hands-on experience with Adobe RT CDP and Pega CDH/RTIM decisioning
Mobile app analytics experience including event schema, SDK oversight, lifecycle measurement
Proficient in SQL, SAS, MicroStrategy, Tableau or Power BI
Strong experimentation and attribution knowledge
Product owner mindset with agile experience and roadmap management
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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