Senior Business Intelligence Manager - Payments

Job description

Bybit is hiring a Senior Business Intelligence Manager for its Payment business in Abu Dhabi. The role is the core BI partner for Crypto Pay, stablecoin payments, merchant payments and cross-border payments, working with business leaders, Product, Operations and BD teams to find growth opportunities, explain metric changes and shape product and channel strategy.

The manager owns analytical projects end to end, from framing the problem and building the analysis to recommending actions and measuring the impact, and maintains the KPI framework, dashboards and monitoring for the payments business.

Responsibilities

• Serve as the core BI Partner for the Payment business; develop deep understanding of business scenarios including Crypto Pay, stablecoin payments, merchant payments, and cross-border payments — covering business models, core metrics, and growth drivers.
• Independently collaborate with business leaders, Product, Operations, and BD teams to understand business objectives and real challenges; proactively identify business issues, growth opportunities, and potential risks.
• Build analytical frameworks from a business perspective; deliver in-depth insights and actionable recommendations through data analysis to support product strategy, business planning, and key decision-making.
• Go beyond passively fulfilling data requests — actively participate in business discussions and drive data analysis to genuinely influence business decisions.
• Own in-depth analysis across Payment-related businesses, covering Crypto Pay, Stablecoin Payments, Merchant Payments, Cross-border Payments, and more.
• Build systematic analysis and monitoring frameworks around core metrics including transaction volume, payment success rate, conversion rate, active users, merchant activity, transaction frequency, and revenue.
• Conduct deep-dive analyses across dimensions such as users, merchants, products, payment methods, PSPs, payment channels, and regional markets to identify key factors affecting business performance.
• Independently perform root cause analysis, attribution analysis, and trend analysis for metric anomalies or performance fluctuations; provide thorough explanations of the business reasons behind data changes.
• Identify potential business opportunities by incorporating industry trends, competitor performance, and market shifts; provide analytical support for Payment product development and market expansion.
• Use data analysis to support Payment product growth, user acquisition and retention, payment penetration improvement, merchant growth, and transaction volume expansion.
• Analyze user payment behavior, transaction conversion funnels, merchant performance, and payment channel efficiency to uncover growth bottlenecks and optimization opportunities.
• Evaluate the business impact of product features, marketing campaigns, PSP partnerships, and payment channel strategies; provide recommendations for product iteration, channel optimization, and resource allocation.
• Collaborate with business, product, and operations teams to translate analytical recommendations into concrete actions; continuously track and measure business improvement outcomes.
• Support business evaluation and growth strategy development for new products, new markets, and new payment scenarios through data analysis.
• Independently own complex end-to-end analytical projects, including problem definition, analytical framework design, hands-on data analysis, strategic recommendations, execution driving, and impact evaluation.
• Build and continuously optimize the Payment business KPI framework, dashboards, analytical models, and monitoring mechanisms to improve analysis efficiency and quality.
• Go beyond routine reporting — proactively challenge existing assumptions, dig deep into root causes, and propose actionable solutions.
• Take ownership of delivery quality and business outcomes for key analytical projects; drive measurable business impact from analytical outputs.
• Develop reusable analytical frameworks, methodologies, and data assets to enhance the team's analytical capabilities and business support efficiency.

Requirements

• Education: Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics, Finance, or a related field.
• Experience: 5+ years of experience in BI, Business Analytics, Product Analytics, or related data analysis roles; prior experience in Payment, Fintech, PSP, or Digital Wallet industries is a strong plus.
• Payment Domain Knowledge: Solid understanding of payment business models, transaction flows, merchant payment scenarios, payment channels, and core business metrics; deep knowledge of the payment industry ecosystem and business growth logic.
• Technical Skills: Proficient in SQL (Hive/ODPS) and Python; capable of independently handling complex data analysis, data processing, and analytical model development; familiar with Tableau, Power BI, DeepInsight, or other BI tools.
• Analytical Skills: Strong structured thinking and complex problem-solving abilities; capable of independently conducting deep-dive analysis, root cause analysis, attribution analysis, and business impact evaluation.
• Business Acumen: Strong business sensitivity; able to deeply understand business goals and core drivers, proactively identify problems and opportunities, and translate analytical findings into actionable business recommendations.
• Ownership: Highly proactive and independently accountable; able to independently own a business domain, lead complex analytical projects, and drive cross-functional collaboration and execution.
• Stakeholder Management: Strong communication skills and cross-team influence; capable of independently partnering with business leaders, Product, Operations, and other teams to drive data-driven business decisions.
• Adaptability: Able to thrive in a fast-changing business environment; stays attuned to emerging payment products, market trends, and new business opportunities

Skills

• Business Intelligence
• Dashboards
• Payments Analytics
• Python
• Root Cause Analysis
• SQL