541 Employee Data jobs in Hong Kong

Join to apply for the Growth Strategy Manager (Data Analysis) role at OKX

1 week ago Be among the first 25 applicants

Join to apply for the Growth Strategy Manager (Data Analysis) role at OKX

Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

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.
What You’ll Be Doing
业务核心数据分析

• 主导核心业务线分析，建立并持续优化分析框架与指标体系
• 通过归因分析、AB测试等方法，量化评估运营策略与资源投入ROI
• 输出可落地的增长建议并推动实施
  

• 独立对接产品线，基于数据分析推动产品迭代
• 与跨部门协作开发数据工具/看板，提升决策效率
  

• 运用Python/SQL实现分析自动化，结合AI工具提升分析深度
• 将统计理论转化为业务可理解的决策依据
  

• Own end-to-end analytics for core business verticals, developing and iteratively improving analytical frameworks with measurable KPIs
• Quantify strategy effectiveness and ROI through attribution modeling, A/B testing, and statistical analysis
• Deliver executable growth recommendations with implementation plans
  

• Partner with product teams to enable data-driven iterations
• Build dashboards and analytical tools via cross-functional collaboration
  

• Automate analyses using Python/SQL while enhancing methods with AI tools
• Transform statistical insights into actionable business guidance
  

• 统招本科及以上学历，理工/商科背景，3+年商业分析经验
• 具备完整AB测试落地案例
• 拥有体系化的大型增长活动分析经验
  

• 精通：SQL+Excel+统计分析
• 优先：Python(自动化处理)+BI工具(DataWind/Tableau/PowerBI)
  

• 能独立完成"问题定位-分析-推动解决"闭环
• 持续学习AI等新技术并转化应用
  

• Bachelor's+ in quantitative/business field
• 3+ years in business analytics
• Proven A/B testing experience (case study required)
• Structured large-scale campaign analysis experience (full-cycle framework required)
• Fluent in Chinese and English is a must to interact with different stakeholders
  

• Required: Advanced SQL, Excel, statistical analysis
• Preferred: Python (Pandas), BI tools (Tableau/Power BI/DataWind)
  

• End-to-end ownership of analytical projects
• Continuous adoption of emerging tech (AI/ML)
  

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development, Marketing, and Product Management
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at OKX by 2x

Get notified about new Strategy Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 2 days ago

Hong Kong, Hong Kong SAR HK$50,000.00-HK$55,000.00 2 weeks ago

Wan Chai District, Hong Kong SAR 2 months ago

Kwun Tong District, Hong Kong SAR 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Analyst, CRM Data Analysis and Automation role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Analyst, CRM Data Analysis and Automation role at AXA Hong Kong and Macau

Get AI-powered advice on this job and more exclusive features.

• Extract and prepare data for campaign targeting using Python scripts
• Collaborate with internal stakeholders to understand business requirements, define and refine customer segmentation, targeting criteria and journey workflow for customer communications
• Ensure accurate and timely delivery of data, with governance well in place
  
  
• Automate data extraction and transformation processes for event triggers to enable automatic communications blasting through Salesforce Marketing Cloud
• Ensure automation performs precise and timely data extraction and transfer to Salesforce Marketing Cloud
• Support to resolve data automation incident and improve automation efficiency as needed
• Explore new techniques and best practices from the market to enhance existing customer segmentation and automation journey
  
  

• Extract and prepare data for campaign targeting using Python scripts
• Collaborate with internal stakeholders to understand business requirements, define and refine customer segmentation, targeting criteria and journey workflow for customer communications
• Ensure accurate and timely delivery of data, with governance well in place
  
  

• Automate data extraction and transformation processes for event triggers to enable automatic communications blasting through Salesforce Marketing Cloud
• Ensure automation performs precise and timely data extraction and transfer to Salesforce Marketing Cloud
• Support to resolve data automation incident and improve automation efficiency as needed
• Explore new techniques and best practices from the market to enhance existing customer segmentation and automation journey
  
  

• Support the development and enhancement of Power BI dashboard for target audience analysis and campaign performance tracking
• Assist in customer and campaign analysis to uncover insights, summarise key takeaways and support test & learn initiatives for continuous improvement
  
  

• University graduate in Data Analytics, Computer Science, Mathematics, Statistics or related subjects
• Prior working experience in CRM, data and analytics and automation in financial services or consulting firms
• Hands on experience as CRM / Data Analyst with strong skills in Databrick (using Pythons script). Experience with Power BI and SQL is also preferred.
• 2-5 years of relevant working experience
• Attention to details and strong problem-solving skills with a growth mindset to ensure data quality and enable continuous improvement
• Self-motivated and proactive, with a positive attitude
• Advantage with knowledge in Salesforce Marketing Cloud or related digital Marketing Automations platforms
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Sales
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Customer Relationship Management Analyst jobs in Hong Kong, Hong Kong SAR .

Wan Chai District, Hong Kong SAR 1 week ago

Central & Western District, Hong Kong SAR 1 day ago

New Territories, Hong Kong SAR 1 week ago

Hong Kong, Hong Kong SAR HK$45,000.00-HK$46,000.00 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Analyst, CRM Data Analysis and Automation role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Analyst, CRM Data Analysis and Automation role at AXA Hong Kong and Macau

Get AI-powered advice on this job and more exclusive features.

• Extract and prepare data for campaign targeting using Python scripts
• Collaborate with internal stakeholders to understand business requirements, define and refine customer segmentation, targeting criteria and journey workflow for customer communications
• Ensure accurate and timely delivery of data, with governance well in place
  
• Automate data extraction and transformation processes for event triggers to enable automatic communications blasting through Salesforce Marketing Cloud
• Ensure automation performs precise and timely data extraction and transfer to Salesforce Marketing Cloud
• Support to resolve data automation incident and improve automation efficiency as needed
• Explore new techniques and best practices from the market to enhance existing customer segmentation and automation journey
  

• Extract and prepare data for campaign targeting using Python scripts
• Collaborate with internal stakeholders to understand business requirements, define and refine customer segmentation, targeting criteria and journey workflow for customer communications
• Ensure accurate and timely delivery of data, with governance well in place
  

• Automate data extraction and transformation processes for event triggers to enable automatic communications blasting through Salesforce Marketing Cloud
• Ensure automation performs precise and timely data extraction and transfer to Salesforce Marketing Cloud
• Support to resolve data automation incident and improve automation efficiency as needed
• Explore new techniques and best practices from the market to enhance existing customer segmentation and automation journey
  

• Support the development and enhancement of Power BI dashboard for target audience analysis and campaign performance tracking
• Assist in customer and campaign analysis to uncover insights, summarise key takeaways and support test & learn initiatives for continuous improvement
  

• University graduate in Data Analytics, Computer Science, Mathematics, Statistics or related subjects
• Prior working experience in CRM, data and analytics and automation in financial services or consulting firms
• Hands on experience as CRM / Data Analyst with strong skills in Databrick (using Pythons script). Experience with Power BI and SQL is also preferred.
• 2-5 years of relevant working experience
• Attention to details and strong problem-solving skills with a growth mindset to ensure data quality and enable continuous improvement
• Self-motivated and proactive, with a positive attitude
• Advantage with knowledge in Salesforce Marketing Cloud or related digital Marketing Automations platforms
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Sales
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Customer Relationship Management Analyst jobs in Hong Kong, Hong Kong SAR .

Wan Chai District, Hong Kong SAR 1 week ago

Central & Western District, Hong Kong SAR 1 day ago

New Territories, Hong Kong SAR 1 week ago

Hong Kong, Hong Kong SAR HK$45,000.00-HK$46,000.00 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Senior / Data Analyst (Data Management - External Data) role at Bank of China (Hong Kong) .

Get AI-powered advice on this job and more exclusive features.

• Handle, integrate, and govern external data procurement requests.
• Lead and support external data management activities in the external data acquisition process.
• Support vendor management (service quality and performance monitoring).
• Document external data sources, usage, and other information to support management reporting.
• Support other data management tasks as assigned.

Requirements:

• Degree or above in finance, computer science, IT management, statistics, business administration, project management, or relevant disciplines.
• Minimum 3 years' working experience, preferably in data management, particularly in external data.
• Experience in external data procurement would be desirable.
• Excellent communication skills and team spirit.
• Can-do attitude and attention to detail.
• Familiar with Microsoft Office (including Chinese typing).

Candidates with less experience will be considered as Associate Data Analyst.

• Mid-Senior level

• Full-time

• Information Technology

• Banking

This job is active and accepting applications.

Join to apply for the Senior / Data Analyst (Data Management - External Data) role at Bank of China (Hong Kong) .

Get AI-powered advice on this job and more exclusive features.

• Handle, integrate, and govern external data procurement requests.
• Lead and support external data management activities in the external data acquisition process.
• Support vendor management (service quality and performance monitoring).
• Document external data sources, usage, and other information to support management reporting.
• Support other data management tasks as assigned.

Requirements:

• Degree or above in finance, computer science, IT management, statistics, business administration, project management, or relevant disciplines.
• Minimum 3 years' working experience, preferably in data management, particularly in external data.
• Experience in external data procurement would be desirable.
• Excellent communication skills and team spirit.
• Can-do attitude and attention to detail.
• Familiar with Microsoft Office (including Chinese typing).

Candidates with less experience will be considered as Associate Data Analyst.

• Mid-Senior level

• Full-time

• Information Technology

• Banking

This job is active and accepting applications.

Join to apply for the Data Engineer – Global Data Platform role at Jain Global

3 days ago Be among the first 25 applicants

• Implement customer-centric data solutions: Collaborate with customers to understand their specific needs, and translate them into robust, scalable data solutions that satisfy the pace demanded by hedge fund operations. Typically some combination of onboarding new financial data sets, implementing data pipelines & external connectors as necessary, along with automated tests for each component as early in the development process as possible.
• Implement automated Data Quality checks at every step of the development & data life cycle to ensure the accuracy, reliability, quality and robustness of data with very high confidence. Automate monitoring and alerting to enable the DataOps team to proactively resolve any issues 24/7 with minimal business impact.
• Integrate with vendor & platform systems: Manage data feed integration with external vendor sources with a focus on fast onboarding and rigorous data validation, as well as with internal 3rd party trade and position keeping & risk systems, and the firm’s central Data Platform.
• Contribute to platform development: Identify recurring patterns in customer needs, propose and implement configurable frameworks. Ensure sufficient process telemetry data allows observation of potential bottlenecks or issues to ensure high availability, robustness and performance.
• Role-model continuous improvement: Maintain high standards of technical excellence, ownership and customer care. Mentor junior engineers and help hire new talent. Streamline workflows, improve data quality, and efficiency to support faster insights and improved decision-making by our customers.

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 5+ years financial industry experience in Front Office Tech / Quant organizations or Data Platform Technology, preferably with some time spent in a hedge fund.
• Technical Skills:
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and corresponding data storage and processing services, e.g. AWS RDS (Postgres), S3, MSK (Kafka).
  • Strong proficiency in Linux environments.
  • Advanced SQL skills and experience with modern data storage & querying technologies (e.g. Snowflake, Redshift, BigQuery), and file formats (e.g. Parquet and Iceberg).
  • Proficiency programming in Python and familiarity with Pandas data frames. Experience of high throughput & low latency programming in languages such as Python, C#, F#, C++ or Java is a plus.
  • Demonstrated experience in test automation to maintain high standards and a fast rate of change with confidence, preferably have used DBT.
  • Familiarity with monitoring production systems using modern observability solutions (e.g. Grafana/Prometheus, DataDog, ELK).
  • Hands-on experience with data pipeline orchestration tools, e.g. Airflow, and data download mechanisms, e.g. sFTP, various vendor APIs.
  • Proficiency in integrating with 3rd-party data providers and vendor APIs typical in hedge funds would be ideal.
  • Financial Data: Familiarity with at least some market and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control).
  • Soft Skills: Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a collaborative mindset, ability to produce in an agile environment.

• Not Applicable

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Jain Global by 2x

Wan Chai District, Hong Kong SAR 1 month ago

• Senior Data Engineer - US Tech Firm - Up to HKD$120k
• Data Engineer - Leading Finance Institution
• Python Senior Software Engineer (Financial Data)
• Financial Services - Data Engineer- HK$50-80k per month
• Python Software Engineer | Top-Tier Hedge Fund in Hong Kong
• Trading Infrastructure Software Engineer (Python)
• Programmer / Software Engineer (AI, Python) (Telecom)
• Data Science Lead | HKD 75K - HKD 90K per month | Inhouse
• Financial Services - C# & Python Software Engineer - HKD 1.2M - 1.3M

Job Description - Data/ Business Analyst, Data Chapter (23000FE)

Job Description

Data/ Business Analyst, Data Chapter - ( 23000FE )

Business Function

Group Strategy and Planning (GSP)supports our management on the implementation of the Group’s strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. Data Chapter is committed to building a data driven organization and maximising the key data capabilities to transform how we do business.

Responsibilities

• Work with stakeholders to conduct business intelligence and advanced analytics, aiming to discover and fulfill customers’ needs proactively, and to identify opportunities and deliver innovative solutions to support business growth
• Create visualizations, prepare presentation and MIS reports with actionable insights to business stakeholders, lead discussion on analytics and interpretation of results to drive decision making
• Leverage new data points and data models to bring in new data insight from different angles
• Continuously explore cutting edge solution in Data Science and take initiatives in evaluating new methodologies and user cases
• Support business analytics initiatives and projects

Requirements

• Degree in Banking, Finance, Business, Mathematics, Statistics, Computer Science or related disciplines
• Relevant experience in data/business analytics
• Conversant with PC application including MS Excel, VBA, Powerpoint and Word
• Strong programming skill in SAS/Python or any statistical software
• Knowledge in building dashboard by using Qlikview/Qliksense or other data visualisation tools
• Self-driven with strong analytical and problem solving skills
• A customer centric attitude, with good communication and interpersonal skills

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

Join to apply for the Data Engineer – Global Data Platform role at Jain Global

3 days ago Be among the first 25 applicants

• Implement customer-centric data solutions: Collaborate with customers to understand their specific needs, and translate them into robust, scalable data solutions that satisfy the pace demanded by hedge fund operations. Typically some combination of onboarding new financial data sets, implementing data pipelines & external connectors as necessary, along with automated tests for each component as early in the development process as possible.
• Implement automated Data Quality checks at every step of the development & data life cycle to ensure the accuracy, reliability, quality and robustness of data with very high confidence. Automate monitoring and alerting to enable the DataOps team to proactively resolve any issues 24/7 with minimal business impact.
• Integrate with vendor & platform systems: Manage data feed integration with external vendor sources with a focus on fast onboarding and rigorous data validation, as well as with internal 3rd party trade and position keeping & risk systems, and the firm’s central Data Platform.
• Contribute to platform development: Identify recurring patterns in customer needs, propose and implement configurable frameworks. Ensure sufficient process telemetry data allows observation of potential bottlenecks or issues to ensure high availability, robustness and performance.
• Role-model continuous improvement: Maintain high standards of technical excellence, ownership and customer care. Mentor junior engineers and help hire new talent. Streamline workflows, improve data quality, and efficiency to support faster insights and improved decision-making by our customers.

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 5+ years financial industry experience in Front Office Tech / Quant organizations or Data Platform Technology, preferably with some time spent in a hedge fund.
• Technical Skills:
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and corresponding data storage and processing services, e.g. AWS RDS (Postgres), S3, MSK (Kafka).
  • Strong proficiency in Linux environments.
  • Advanced SQL skills and experience with modern data storage & querying technologies (e.g. Snowflake, Redshift, BigQuery), and file formats (e.g. Parquet and Iceberg).
  • Proficiency programming in Python and familiarity with Pandas data frames. Experience of high throughput & low latency programming in languages such as Python, C#, F#, C++ or Java is a plus.
  • Demonstrated experience in test automation to maintain high standards and a fast rate of change with confidence, preferably have used DBT.
  • Familiarity with monitoring production systems using modern observability solutions (e.g. Grafana/Prometheus, DataDog, ELK).
  • Hands-on experience with data pipeline orchestration tools, e.g. Airflow, and data download mechanisms, e.g. sFTP, various vendor APIs.
  • Proficiency in integrating with 3rd-party data providers and vendor APIs typical in hedge funds would be ideal.
  • Financial Data: Familiarity with at least some market and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control).
  • Soft Skills: Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a collaborative mindset, ability to produce in an agile environment.

• Not Applicable

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Jain Global by 2x

Wan Chai District, Hong Kong SAR 1 month ago

• Senior Data Engineer - US Tech Firm - Up to HKD$120k
• Data Engineer - Leading Finance Institution
• Python Senior Software Engineer (Financial Data)
• Financial Services - Data Engineer- HK$50-80k per month
• Python Software Engineer | Top-Tier Hedge Fund in Hong Kong
• Trading Infrastructure Software Engineer (Python)
• Programmer / Software Engineer (AI, Python) (Telecom)
• Data Science Lead | HKD 75K - HKD 90K per month | Inhouse
• Financial Services - C# & Python Software Engineer - HKD 1.2M - 1.3M

Job Description - Data/ Business Analyst, Data Chapter (23000FE)

Job Description

Data/ Business Analyst, Data Chapter - ( 23000FE )

Business Function

Group Strategy and Planning (GSP)supports our management on the implementation of the Group’s strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. Data Chapter is committed to building a data driven organization and maximising the key data capabilities to transform how we do business.

Responsibilities

• Work with stakeholders to conduct business intelligence and advanced analytics, aiming to discover and fulfill customers’ needs proactively, and to identify opportunities and deliver innovative solutions to support business growth
• Create visualizations, prepare presentation and MIS reports with actionable insights to business stakeholders, lead discussion on analytics and interpretation of results to drive decision making
• Leverage new data points and data models to bring in new data insight from different angles
• Continuously explore cutting edge solution in Data Science and take initiatives in evaluating new methodologies and user cases
• Support business analytics initiatives and projects

Requirements

• Degree in Banking, Finance, Business, Mathematics, Statistics, Computer Science or related disciplines
• Relevant experience in data/business analytics
• Conversant with PC application including MS Excel, VBA, Powerpoint and Word
• Strong programming skill in SAS/Python or any statistical software
• Knowledge in building dashboard by using Qlikview/Qliksense or other data visualisation tools
• Self-driven with strong analytical and problem solving skills
• A customer centric attitude, with good communication and interpersonal skills

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.