Apply statistical models or similar analytical techniques to interpret subscriber growth, customer churn, product performance, activation, and customer behaviour for the TrendLife leadership and management team.
Proactively analyse data to address key business questions and establish metrics that track the health of the consumer business - covering recurring revenue performance, subscriber retention, activation rates, conversion funnels, and engagement trends.
Conduct cohort analyses and deep-dives on customer lifecycle stages - from trial to paid to renewal - to support proactive retention and upsell strategies.
Metrics Definition & Governance
Establish and maintain authoritative definitions for key consumer business metrics, ensuring precise, consistent application across product, marketing, finance, and leadership teams.
Document metric specifications including calculation methodology, data sources, scope, and known limitations, providing stakeholders with a reliable reference for data interpretation.
Engage cross-functional teams to align on standardised metric definitions that accurately reflect consumer business objectives and prevent inconsistencies in reporting.
Investigate and resolve metric discrepancies, providing structured root-cause analysis and clear remediation guidance to both technical and business stakeholders.
Data Validation & Engineering Collaboration
Validate data outputs by writing and running queries to verify accuracy, identify anomalies, and surface errors in existing data pipelines or logic.
Act as the communication bridge between the business and the data engineering team: translate business requirements into precise data logic, and help engineers understand the business impact of data issues.
Collaborate with data engineers on updating and refining data logic, providing clear and structured feedback when pipeline outputs do not match business expectations.
Prototype analytical logic using SQL to validate hypotheses and define the correct calculation approach before handoff to engineering for productionisation.
Proactively flag data quality issues and follow through to ensure resolution, maintaining a high standard of data integrity across consumer business metrics.
Minimum Requirements / Qualifications:
3+ years of experience as a data analyst, ideally in a SaaS, subscription, or consumer technology business.
Strong SQL skills for querying, validating, and troubleshooting data.
Solid understanding of consumer subscription metrics and t
Benefits
Health insurance
Additional Information
Join Trend ‧ Join New Generation
趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣
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About Trend Micro & TrendLife
Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information. TrendLife is Trend Micro's consumer business unit, delivering world-class digital safety products to individuals and families worldwide.
This role is part of the Business Operations team within TrendLife, sitting at the intersection of data, strategy, and cross-functional execution. We have built a solid data foundation over the past few years and are expanding our analytical capability to serve the consumer business - bringing rigour and clarity to the data that drives our most critical decisions.
We believe the success of a team comes from the success of each member. Here you will gain deep business knowledge, keep learning new technologies, and deliver real value to the organisation.
This Position
We are looking for a Data Analyst who is passionate about data, has a strong business sense, and thrives at the intersection of consumer insights and analytical rigour. You will be the go-to analytics partner for the TrendLife consumer business, helping leadership and cross-functional teams understand subscriber growth, revenue performance, product adoption, and customer behaviour - and turning that understanding into clear, actionable insight.
This role requires fluency in consumer business dynamics: understanding how subscribers acquire, activate, engage, and churn, and how key revenue and retention metrics translate into real product and marketing decisions. You will prototype analytical logic, validate data and surface errors, serve as the communication bridge between business stakeholders and the data engineering team, and ensure alignment on metric definitions across the organisation.
AI-Native Mindset We Are Looking For
We are looking for someone who does more than "use AI tools." The right candidate should show curiosity and ownership in redesigning how work gets done with AI. This includes using AI to improve speed and quality, building repeatable workflows, questioning existing manual processes, validating AI outputs, and helping the team learn new ways of working. The candidate should be comfortable experimenting, but also disciplined about accuracy, privacy, governance, and human accountability.
Trend Micro · Taipei, Taiwan