Manager/Senior Manager – Digital Analyst (Adobe Analytics)

Location: Taikoo Shing, Hong Kong Island

Company

hirify.global helps clients achieve lifetime financial security and live healthier lives through financial and insurance-related services across Asia and other markets.

What you will do

• Build and enhance digital behavioral analytics across Adobe Experience Cloud, websites, organic and paid marketing, CRM, client experience, 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 segments, calculated metrics, attribution, and funnel views.
• Investigate performance changes, data anomalies, tracking issues, conversion trends, risks, and opportunities using raw exports, platform files, connector outputs, joined datasets, trend analysis, cohorts, variance checks, and statistical techniques.
• Create ad hoc reports, dashboards, analytical templates, KPI frameworks, lead-indicator views, calculated metrics, and visualizations using Adobe Analytics, Excel, BI tools, and AWS Quick Sight.
• Define, validate, and troubleshoot Adobe Analytics data points, tagging logic, taxonomies, KPI definitions, classifications, attribution assumptions, and funnel rules with Digital Analytics, MarTech, Data & Analytics, IT, agencies, and market teams.
• Translate technical findings into clear insights, reporting inputs, risks, opportunities, and recommended actions.

Requirements

• 7–10 years of experience in data science, digital analytics, web and marketing analytics, business intelligence, analytics engineering, marketing measurement, or a related field.
• Bachelor’s degree in business, statistics, economics, data science, marketing analytics, information systems, computer science, or a related discipline.
• Hands-on experience with Adobe Analytics or comparable digital analytics platforms, including dashboard and project creation, segmentation, calculated metrics, attribution analysis, funnel analysis, and reporting QA.
• Strong experience building reporting and insight solutions with Adobe Analytics, Excel, Tableau, Power BI, Amazon Quick Sight, or similar tools, including work with raw exports and joined datasets.
• Practical understanding of statistical analysis, trend analysis, cohorts, segmentation, attribution, marketing measurement, funnel diagnostics, KPI definitions, metric hierarchy, analytical storytelling, and visualization design.
• Experience diagnosing performance by connecting media spend, traffic, CRM journeys, lead indicators, competitor data, lead quality, pipeline movement, and offline conversions.
• Experience reconciling data from multiple systems and identifying whether issues arise from tracking, source data, business-process gaps, or reporting definitions.
• Ability to balance speed and accuracy, document assumptions and limitations, flag data-quality risks, and turn performance questions into analytics approaches and recommended actions.
• Ability to research practical options such as connectors, APIs, access routes, and reporting processes when additional data is needed.

Nice to have

• Programming or scripting experience, including Python, scripts, queries, notebooks, Copilot, or repeatable workflows for data preparation, output validation, and recurring analysis.
• Experience with Tealium or Google Tag Manager tagging implementations and the ability to validate tracking, identify data issues, and explain likely causes.
• Familiarity with Marketo, Adobe Target, Google Ads, Meta, LinkedIn, Microsoft Ads, Qualtrics, Sprinklr, and other MarTech, web analytics, survey, advertising, BI, and social listening data sources.
• Experience preparing analytical commentary, campaign readouts, reporting inputs, or performance review materials.
• Experience using APIs, connectors, automation scripts, Copilot, or AI-assisted tools to reduce manual effort while maintaining analytical quality.

Culture & Benefits

• Purpose-driven work focused on helping clients achieve lifetime financial security and healthier lives.
• High-performance, caring culture with emphasis on continuous growth and meaningful impact.
• Inclusive environment that values wellbeing, collaboration, and accountability.
• Supportive leaders and colleagues who encourage professional development and knowledge sharing.