Head of BI, Global Growth at moomoo

Shenzhen, Guangdong Province, China -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Growth Analytics, Data Science, Experimentation, Incrementality, SQL, Python, Data Warehousing, Stakeholder Management, Communication, Compliance, Privacy, Cross-Border Data Collaboration, Talent Development, Market Segmentation, Funnel Analytics, Lifecycle Strategy

Industry

Financial Services

Description

Team Scope This role leads a multi-market Growth Data Analytics organization supporting the United States, Canada, Japan, Australia, New Zealand, Malaysia, Singapore, and Hong Kong, working closely with data engineering/data platform teams to scale global metrics, governance, and analytics capabilities. Role Summary This position will elevate market-level analytics into a scalable global growth analytics system. The leader will standardize growth definitions and measurement, build experimentation and incrementality practices, improve data analysis ability & delivery efficiency, and drive measurable impact on the KPI metrics. Responsibilities Growth KPI & Growth Operating System • Own and continuously optimize a global growth measurement framework centered on Paying Client and AUM, including a complete funnel and leading-indicator “metric tree” across acquisition → onboarding/account opening → funding → trading. • Lead high-impact growth problem diagnosis and translate insights into actionable strategy (channel mix, funnel conversion optimization, customer segmentation, and lifecycle strategy), partnering cross-functionally to execute and iterate. Experimentation & Incrementality (From Correlation to Causality) • Design and operationalize a multi-market experimentation and incrementality measurement program (A/B tests, holdouts, phased rollouts, geo-based tests, quasi-experiments), evaluating the incremental impact of marketing, product, and lifecycle initiatives on Paying Client and AUM. • Establish standardized experiment design templates, evaluation standards, power/contamination controls, and a consistent review/retro process to improve decision quality and learning velocity. Global Metrics Standardization & Self-Serve Analytics • Lead the development of global metric definitions (Metric Dictionary / Semantic Layer) and governance mechanisms (data quality monitoring, lineage, reconciliation, permissions and auditability), reducing cross-market definition drift and reporting disputes. • Partner with data platform/engineering to productize analytics (core dashboards, self-serve reporting, metric services), materially improving turnaround time and reducing repetitive ad hoc requests. Multi-Time-Zone Matrix Leadership & Talent Development • Lead and develop a distributed team of market analytics squads; implement a consistent operating cadence (OKRs/QBRs, weekly business reviews, experiment reviews, post-mortems). • Build a robust talent pipeline and capability standards (hiring, coaching, performance management), enabling a “global methodology + local insight” model at scale. Compliance, Privacy & Cross-Border Data Collaboration • Partner with Legal/Compliance/Privacy to ensure analytics practices meet multi-jurisdictional requirements (data minimization, access control, auditability, data residency and cross-border restrictions). • Design practical measurement approaches that remain effective under regulatory constraints (e.g., local computation with global aggregation). • 8–15 years of experience in analytics, growth analytics, or data science, including 3–6+ years of people leadership; proven experience leading cross-functional, cross-region, or matrixed teams. • Experience in financial services or other highly regulated industries (brokerage, wealth management, fintech, digital banking, payments, credit card), with a strong understanding of onboarding/KYC, funding flows, trading behaviors, and how risk/compliance constraints shape growth. • Strong measurement and analytics foundation: funnel analytics, segmentation and lifecycle analytics, experimentation and incrementality, and marketing effectiveness measurement. • Advanced SQL; working proficiency in Python/R for analysis and prototyping; strong understanding of data warehousing/lakehouse, instrumentation/event design, BI, and core data governance principles (no requirement to build pipelines, but must partner effectively with engineering). • Excellent stakeholder management and influence: ability to translate complex analytics into clear business decisions and drive cross-functional execution. • Strong English communication skills; comfortable operating in a fast-paced, multi-time-zone environment. Nice-To-Have • Direct experience driving Paying Client and AUM growth for a brokerage/trading or wealth platform, with quantified outcomes. • Proven track record building a global metrics system, experimentation program, or Growth Analytics Center of Excellence (CoE) from 0→1 or scaling 1→N. • Hands-on experience with privacy and compliance frameworks (e.g., GDPR, data residency/cross-border constraints) and practical implementations. • Product mindset in analytics: experience building self-serve analytics, metric platforms, or experimentation platforms that materially improve delivery efficiency. • International growth experience, with an understanding of channel ecosystems and localization differences across North America and APAC markets.

Responsibilities

The Head of BI will lead a multi-market Growth Data Analytics organization, optimizing a global growth measurement framework and driving impactful strategies. Responsibilities include designing experimentation programs, standardizing metrics, and developing a distributed team.