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Sun Life in Hong Kong seeks a Manager/Senior Manager - Digital Analyst to lead digital performance analysis and measurement across Adobe Analytics and related platforms. The role requires hands-on analytics, diagnostic investigations, and the delivery of KPI-driven insights to regional leaders.
The candidate will design reporting, dashboards and governance practices, collaborating with Marketing, IT and Data teams to improve measurement reliability and drive business decisions.
You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Discover how you can make a difference in the lives of individuals, families and communities around the world.
The Manager/Senior Manager - Digital Analyst, Asia is a hands-on analytics specialist responsible for digital performance analysis, behavioral analytics, reporting solutions and measurement improvement across Adobe Analytics, marketing platforms and raw data sources.
The role investigates performance movements, data anomalies, tracking issues and trends, then translates analysis into clear insights, practical recommendations and measurement improvements.
Build and enhance digital behavioral analytics across Adobe Experience Cloud (Adobe Analytics included), websites, organic, brand, performance marketing, CRM, client, UX, selected social listening and Online-to-Offline funnel data. Analyze user behavior, traffic, engagement, conversion, drop-offs, competitor data, lead indicators and market trends using relevant platform data, segments, calculated metrics, attribution and funnel views. Translate findings into clear insights, reporting inputs, risks, opportunities and recommended actions.
Conduct deep-dive investigations when dashboards or reports are insufficient, using raw exports, platform files, connector outputs and joined datasets to identify root causes of performance changes, conversion trends, tracking issues, anomalies, risks and opportunities. Apply trend analysis, segmentation, cohort views, variance checks and practical statistical techniques to surface patterns not visible in standard reporting.
Create ad hoc reports, dashboard views and repeatable analytical templates using Adobe Analytics, Excel Reports, BI tools and AWS Quick Sight, incorporating selected data where relevant. Design KPI frameworks, lead-indicator views, calculated metrics and visualizations that help markets and regional leaders monitor performance drivers, competitor signals and funnel movement beyond static reporting.
Support data quality and measurement governance for marketing analytics by defining, validating and troubleshooting Adobe Analytics data points, tagging logic, taxonomy, KPI definitions, classifications, attribution assumptions and funnel rules with Digital Analytics, MarTech, Data & Analytics, IT, agencies and market teams.
Hands-on experience with Adobe Experience Cloud, including Adobe Analytics and Analysis Workspace, plus familiarity with broader MarTech, web analytics, survey, ad platform, BI and social listening data sources such as Marketo, Adobe Target, Google Ads, Meta, LinkedIn, Microsoft Ads, Qualtrics and Sprinklr where relevant. Ability to design practical KPI frameworks for digital marketing, website behavior, CRM journeys, lead indicators, competitor data and O2O conversion paths. Able to partner with Client Experience & Marketing, MarTech, Data & Analytics, AI and IT teams to define tracking needs, validate implementation and improve measurement reliability.
Strong analytical problem-solving skills to investigate performance changes, data anomalies, tracking issues, conversion trends and pipeline movement. Experience working with, or supporting, Tealium or Google Tag Manager tagging implementations managed by Digital, MarTech or agency teams. Able to validate tracking, identify data issues and explain likely causes. Ability to apply trend, variance, segmentation, cohort, funnel, attribution and practical statistical techniques to identify patterns, opportunities and risks. Strong data QA capability, including source-to-output checks, reconciliation, anomaly detection, assumptions documentation and issue follow-through. Able to translate technical findings into clear analytical outputs and practical recommendations.
Uses Excel, Tableau, Power BI, Amazon Quick Sight or s