Senior Data Analyst (AI-Native), VIP & Institution

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Role As a Senior Data Analyst (AI-Native) – VIP Institutional , you’ll be the strategic analytics partner shaping how we acquire, grow, and retain our VIP and institutional clients in the crypto market. You’ll work with commercial leadership to turn data into clear business strategy, measurable targets/OKRs, and incentive systems —and you’ll modernize how this work is done by building AI-powered analytics workflows and agents that scale decision-making across the org. This role is ideal for someone who loves business strategy + data , and is excited to apply LLMs/AI agents to real revenue-driving problems in an industry that moves fast. You’ll directly shape how we grow our most valuable customer segments—and you’ll define the next operating model: AI-augmented commercial analytics . Your work will influence revenue, retention, client experience, and how leadership makes decisions in a fast-moving crypto environment. What You'll Do Strategy, Growth, and Commercial Enablement Partner with VIP institutional leaders to define segment strategy , growth priorities, and quarterly/annual OKRs . Identify revenue and engagement opportunities across lifecycle stages (onboarding → activation → growth → retention). Lead business reviews with leadership: what’s working, what’s not, and where to pivot—backed by data. AI-Native Analytics Agent Building Build and operationalize AI-assisted analytics workflows (e.g. automated insight generation, narrative reporting, anomaly explanations). Design and ship AI agents/copilots for business analysis use cases, such as: “Ask the business” agent for VIP performance, client health, and pipeline diagnostics Incentive plan simulator (what-if analysis + recommended structures) Client insights agent combining CRM + trading + engagement + on-chain signals Establish evaluation and monitoring for AI outputs (quality, hallucination risk, drift, business impact). Data-Driven Decision Support Analyze segment performance, revenue composition, client behavior, product adoption, and program effectiveness. Translate analysis into actionable recommendations (pricing/fee tiers, engagement motions, program design, account prioritization). Provide executive-ready storytelling: concise, decision-oriented, and tied to measurable levers. Performance Tracking Reporting (Modernized) Build and maintain scorecards and dashboards, but also push beyond dashboards: Automated weekly exec summaries with key movements, drivers, and next actions Early-warning systems for risk (drop in activity, churn signals, relationship health) Define and standardize core metrics for VIP/institutional success: revenue, margin, retention, depth, engagement, and operational efficiency. Incentives, Targets, and Experimentation Design incentive programs and bonus structures aligned with strategy and healthy growth. Build target-setting frameworks across segments/regions/tiers. Partner with stakeholders to run experime ... (truncated, view full listing at source)