Senior Data Analyst Spot

Bybit; Dubai; On-site; AED 360,000 - 540,000; Full time

Benefits offered by this job

Study Growth Fund

Internal Events

Global Collaboration

Career Advancement

Internal Mobility

Job summary

Bybit in Dubai is seeking a seasoned Business Intelligence Analyst to own analytics for Wealth/Earn and Trading Tools. You will build dashboards, measure product performance, user growth, engagement, and revenue across multiple product lines, and partner with Product, Ops, Marketing, Finance, and Data Engineering.

You will develop data models, ETL pipelines, and segmentation to identify high-value users, cross-sell opportunities, and churn risks, supporting growth strategies in a fast-paced

Qualifications

• Fluent in English and Mandarin, both written and spoken.
• 5+ years of experience in Business Intelligence, Data Analytics, Product Analytics, or a related analytical role.
• Experience in fintech, financial services, trading platforms, wealth management, brokerage, or digital assets.
• Strong proficiency in SQL and at least one analytical programming language such as Python or R.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms.
• Strong understanding of product and user lifecycle analytics, including funnel analysis, activation, retention, churn, cohort analysis, segmentation, and LTV.
• Ability to analyze complex financial or trading products and translate product mechanics into measurable KPIs and analytical frameworks.
• Strong analytical and problem-solving skills, with the ability to move from data findings to clear business recommendations and product actions.
• High attention to detail with a strong commitment to data quality, metric consistency, and analytical accuracy.
• Ability to work independently and manage multiple analytical projects in a fast-paced, cross-functional environment.
• Comfortable collaborating with stakeholders across different regions and time zones.

Responsibilities

• Own BI analytics for Wealth/Earn and Trading Tools product lines, covering product performance, user growth, engagement, retention, trading activity, AUM, revenue, and other key business metrics.
• Analyze the full user lifecycle and product funnel, including acquisition, activation, product adoption, repeat usage, retention, churn, and cross-product conversion, identifying key drivers and growth opportunities.
• Conduct deep-dive analyses on Wealth/Earn products, including subscription and redemption flows, AUM growth, yield trends, asset allocation, user segmentation, retention, and product profitability.
• Analyze Trading Tools performance, including adoption and usage of products such as Trading Bots, Grid/DCA strategies, Copy Trading, automated trading features, and other trading tools; evaluate their impact on trading frequency, volume, retention, and revenue.
• Build user segmentation and behavioral models to identify high-value users, potential adopters, cross-sell opportunities, and churn risks, supporting product targeting and lifecycle management.
• Evaluate cross-product user journeys between Wealth/Earn, Spot, Derivatives, and Trading Tools, identifying opportunities to improve asset activation, trading conversion, and overall user value.
• Build and maintain dashboards, automated reports, and monitoring frameworks for key product KPIs, enabling product and business teams to quickly identify performance changes and anomalies.
• Support product launches, campaigns, feature iterations, and A/B tests through pre-launch sizing, experiment design, performance measurement, and post-launch impact analysis.
• Develop and maintain scalable data models, metric frameworks, and ETL pipelines, ensuring consistent definitions and reliable data across Wealth and Trading Tools products.
• Monitor data quality and investigate metric discrepancies across product, transaction, asset, and user datasets, working with Data Engineering and Product teams to resolve underlying issues.
• Partner closely with Product, Operations, Marketing, Finance, and Data Engineering teams to define business metrics, identify opportunities, and translate analytical findings into actionable product and growth strategies.
• Provide data-driven recommendations on product growth, user monetization, asset retention, trading engagement, and product portfolio optimization.

Skills

English

Mandarin

SQL

Python

R

Tools

Tableau

Looker

Power BI

Job description

Job Description:

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Business Intelligence Analyst – Wealth & Trading Tools

Key Responsibilities

1. Own BI analytics for Wealth/Earn and Trading Tools product lines, covering product performance, user growth, engagement, retention, trading activity, AUM, revenue, and other key business metrics.
2. Analyze the full user lifecycle and product funnel, including acquisition, activation, product adoption, repeat usage, retention, churn, and cross-product conversion, identifying key drivers and growth opportunities.
3. Conduct deep-dive analyses on Wealth/Earn products, including subscription and redemption flows, AUM growth, yield trends, asset allocation, user segmentation, retention, and product profitability.
4. Analyze Trading Tools performance, including adoption and usage of products such as Trading Bots, Grid/DCA strategies, Copy Trading, automated trading features, and other trading tools; evaluate their impact on trading frequency, volume, retention, and revenue.
5. Build user segmentation and behavioral models to identify high-value users, potential adopters, cross-sell opportunities, and churn risks, supporting product targeting and lifecycle management.
6. Evaluate cross-product user journeys between Wealth/Earn, Spot, Derivatives, and Trading Tools, identifying opportunities to improve asset activation, trading conversion, and overall user value.
7. Build and maintain dashboards, automated reports, and monitoring frameworks for key product KPIs, enabling product and business teams to quickly identify performance changes and anomalies.
8. Support product launches, campaigns, feature iterations, and A/B tests through pre-launch sizing, experiment design, performance measurement, and post-launch impact analysis.
9. Develop and maintain scalable data models, metric frameworks, and ETL pipelines, ensuring consistent definitions and reliable data across Wealth and Trading Tools products.
10. Monitor data quality and investigate metric discrepancies across product, transaction, asset, and user datasets, working with Data Engineering and Product teams to resolve underlying issues.
11. Partner closely with Product, Operations, Marketing, Finance, and Data Engineering teams to define business metrics, identify opportunities, and translate analytical findings into actionable product and growth strategies.
12. Provide data-driven recommendations on product growth, user monetization, asset retention, trading engagement, and product portfolio optimization.

Required Qualifications

1. Fluent in English and Mandarin, both written and spoken.
2. 5+ years of experience in Business Intelligence, Data Analytics, Product Analytics, or a related analytical role.
3. Experience in fintech, financial services, trading platforms, wealth management, brokerage, or digital assets.
4. Strong proficiency in SQL and at least one analytical programming language such as Python or R.
5. Hands‑on experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms.
6. Strong understanding of product and user lifecycle analytics, including funnel analysis, activation, retention, churn, cohort analysis, segmentation, and LTV.
7. Ability to analyze complex financial or trading products and translate product mechanics into measurable KPIs and analytical frameworks.
8. Strong analytical and problem-solving skills, with the ability to move from data findings to clear business recommendations and product actions.
9. High attention to detail with a strong commitment to data quality, metric consistency, and analytical accuracy.
10. Ability to work independently and manage multiple analytical projects in a fast‑paced, cross‑functional environment.
11. Comfortable collaborating with stakeholders across different regions and time zones.

Preferred Qualifications

1. Familiarity with crypto financial products, including flexible/fixed Earn, staking, on‑chain yield, structured products, or other digital‑asset wealth products.
2. Experience with trading products or trading tools, such as Spot/Derivatives, Trading Bots, Grid Trading, DCA, Copy Trading, algorithmic trading, or automated trading strategies.
3. Understanding of key trading metrics such as trading volume, frequency, liquidity, fees, PnL, strategy performance, and trader retention.
4. Experience analyzing cross-product user behavior, particularly the relationship between asset holding, wealth products, and trading activity.
5. Experience with A/B testing, statistical analysis, forecasting, causal analysis, or machine learning techniques.
6. Prior experience at a crypto exchange, brokerage, trading platform, fintech company, or digital asset platform is highly preferred.

Why Join Us

At Bybit, we are committed to fostering a supportive and enriching work environment.

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
• Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
• Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
• Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.