What Jobs are available for Data Analyst in Hong Kong?

Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.

We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention.

Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.

Running an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.

We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.

As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations—playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences.

This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes.

• Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings

• Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows

• Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues

• Support our customer-facing teams with ad hoc data questions, investigations, and insights

• Build internal tooling and processes to streamline reconciliation and improve onboarding throughput

• Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

• Proficient in SQL and Excel / Google Sheets

• Strong analytical and pattern recognition skills across large, messy, or multi-source datasets

• Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)

• Strong problem-solving skills and ability to operate with autonomy in fast-moving environments

• Clear communicator with high attention to detail and a collaborative mindset

• Experience with DBT or similar ETL frameworks

• Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB

• Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)

• Prior exposure to tax, compliance, or accounting-related data

• A background in operations, finance, or technical customer success

• Be a core builder in an ambitious, globally minded startup.

• Learn hands-on how to scale international compliance systems.

• Work across functions and with leadership early in your career.

• Make a visible impact immediately through enablement and operational design.

• Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.

About the Team:

The Data Team at SCMP is a diverse and high performing group of data specialists covering various functions across data engineering, analytics, business analysis and data science. We are at the leading edge of data implementation in the media industry and have won various industry awards for our achievements.

Purpose of the Position:

The purpose of this Data Analyst position is to work with different departments & teams to understand their data needs and provide skillful support on data analysis for various stakeholders on Google Analytics and various data projects.

We are looking for a data-passionate candidate who has strong data analytical skills with large amounts of data (expert SQL is a must), good knowledge on Google Analytics skill, excellent communication skill, and experience in managing projects across multiple teams.

In this role, you will:

• Deliver reporting, and dashboard to cross-functional management teams across all of SCMP group's properties
• Work closely across multiple teams to understand their information needs and ensure strategy and developed solutions fit evolving needs
• Perform ad-hoc analysis on multiple data sources to deliver insights and actionable recommendations
• Own and manage multiple initiatives to develop and automate tracking mechanisms to measure multi-channel performance both regularly and on an ad-hoc basis
• Collaborate with engineering to shape and drive the tactical and strategic development of data infrastructure, dashboards, reporting, and analytical applications
• Work closely with the data engineering and the development team to build ETL pipelines and data marts for both analytics and dashboards
• Manage data vendors that ensure they provide quality data

Skills and Experience that will lead to success:

• Degree in Business, Economics, Finance, Computer Science, Statistics or other relevant fields.
• At least 1 year of analytical experience with high data volume environments, preferably in software, internet, media, or telecom industry
• Strong data visualization experience in building / automating dashboards by Tableau and/or Google Looker Studio
• Solid experience in writing complex analytical queries in SQL
• Knowledge of web analytics tools such as GA Universal and Google Analytics 4
• Demonstrated experience and strong track record in developing and delivering reporting and analysis to senior management in a demanding business environment
• Demonstrated ability to handle multiple projects and drive complex operational and strategic initiatives
• Strong interpersonal skills that encourage team cooperation and build solid working relationships with peers and senior leadership.
• Excellent communication skills, written, verbal, and presentation in English.

Work location will be at Causeway Bay office.

Responsibilities:

• Understand user requirements and recommend measurable parameters for dashboard development
• Design and Develop dashboard based on user requirements to monitor and track performance of different programs
• Gather data from a variety of data sources, transfer into meaningful information for management review
• Perform data validation, troubleshoot and correct data load exceptions or inaccuracies
• Provide data support to various departments

Requirements:

• Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or related discipline.
• At least 2 years of experience in statistical analysis, candidates with less experience will be considered as Associate Analyst.
• Solid business acumen, with strong analytical skills. Demonstrated good attention to detail and accuracy.
• Fluency in written and spoken English and Chinese
• MNC experience is preferred

Five-day work & our remuneration package includes bank holidays and bonus. Other fringe benefits such as Group Medical and free lunch will also be provided.

About the role

We are seeking a talented Data Analyst to join our team at MUTOH TRADING CO LIMITED' in the Kowloon City District. As a Data Analyst, you will play a crucial role in driving data-driven decision making across the organisation. This full-time position offers the opportunity to work with cutting-edge technologies and contribute to the strategic objectives of the company.

What you'll be doing

• Collect, analyse and interpret complex data from various sources to uncover insights and identify trends
• Develop and maintain dashboards and reports to provide stakeholders with timely and actionable information
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Implement data mining and machine learning techniques to enhance the accuracy and reliability of data analysis
• Communicate findings and recommendations to stakeholders in a clear and compelling manner
• Stay up-to-date with the latest data analysis tools and techniques to continuously improve the company's data capabilities

What we're looking for

• Degree in a quantitative field such as Computer Science, Statistics, or Mathematics
• Proven experience as a Data Analyst or a similar role, with a strong understanding of data analysis methodologies
• Proficiency in SQL and at least one programming language (e.g. Python, R, or Java)
• Familiarity with data visualisation tools such as Power BI, Tableau, or Qlik
• Strong problem-solving skills and the ability to think critically about data
• Excellent communication and presentation skills to effectively convey insights to both technical and non-technical stakeholders

What we offer

At MUTOH TRADING CO LIMITED', we are committed to providing our employees with a supportive and rewarding work environment. As a Data Analyst, you will have access to ongoing training and development opportunities to further enhance your skills. We also offer a competitive salary, comprehensive benefits package, and opportunities for career advancement.

About us

MUTOH TRADING CO LIMITED' is a leading provider of high-quality products and services in the Information & Communication Technology industry. With a strong focus on innovation and customer satisfaction, we are dedicated to driving the success of our clients through data-driven insights and strategic decision-making. Join our dynamic team and be a part of our continued growth and success.

Apply now

A well-established international asset management firm which is one of the major institutional investors in the global financial markets and one of the biggest funds by AUM in Hong Kong. We invest in a wide range of products with an international dimension. We are now looking for high caliber candidates who would like to share our commitment and professional values. We offer competitive remuneration package and a commitment to training and continual professional development.

About the job

The systematic data analyst sits within the systematic investing group, which consists of quantitative analysts and systematic PMs. As a Data Analyst, you will play a crucial role in managing and maintaining critical datasets that are essential to the team's investment workflow.

This is an opportunity for individuals who are passionate about data and quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.

Principal Responsibilities

• Efficiently monitor daily data generation process across various systems, ensuring accuracy, completeness, and timeliness
• Research potential alpha sources, and present to portfolio managers
• Build technology tools to acquire dataset from public sources
• Engage with vendors, brokers to understand characteristics of datasets
• Interact with portfolio managers to understand their use cases and recommend datasets to help maximize their profitability
• Analyze datasets to generate key descriptive statistics

Qualifications/Skills Required

• Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis
• 3 - 5 years of financial industry experience preferred
• Programming expertise in Python and SQL
• Experience in NLP, Web scraping and alternative data is preferred

We offer an attractive remuneration with excellent opportunities to the right candidate. Interested parties please apply with detailed resume. (All personal information received will be kept in strictly confidential and only for recruitment purpose only.)

As a Data Analyst based in Hong Kong, you will play a pivotal role in supporting the organisation's Management Information System (MIS) activities. Your day-to-day responsibilities will involve close collaboration with stakeholders across different departments, consolidating their analytic requirements into actionable solutions.

DATA ANALYST

Salary: Competitive and based on experience

Location: Hong Kong

Keywords: collaborative, dependable, supportive leadership, inclusive, flexible working opportunities, training opportunities, knowledgeable team

An exciting opportunity has arisen for a Data Analyst to join a highly respected financial institution in Hong Kong, where your expertise will be valued and nurtured. This role offers the chance to work within a knowledgeable and supportive team, collaborating closely with various departments to deliver meaningful insights and ensure data integrity across the organisation. You will benefit from flexible working opportunities and ongoing training, allowing you to grow your skills while making a real impact on business operations. The organisation is committed to fostering an inclusive environment where your contributions are recognised, and you are encouraged to share ideas that enhance efficiency and effectiveness. If you are passionate about data analytics and eager to support business growth through dependable analysis, this position provides the perfect platform for your professional development.

* Work alongside a collaborative network of professionals who value teamwork, knowledge sharing, and mutual support, ensuring you always have guidance and encouragement as you develop your career.

* Enjoy access to flexible working arrangements and continuous training opportunities designed to help you expand your technical expertise and stay ahead in the ever-evolving field of data analytics.

* Be part of an inclusive workplace culture that celebrates diversity, encourages open communication, and values your input in driving process improvements and supporting key business decisions.

What you'll do:

As a Data Analyst based in Hong Kong, you will play a pivotal role in supporting the organisation's Management Information System (MIS) activities. Your day-to-day responsibilities will involve close collaboration with stakeholders across different departments, consolidating their analytic requirements into actionable solutions. You will be entrusted with maintaining robust data models, managing valuable data assets, and extracting information from multiple sources with meticulous attention to detail. Your ability to troubleshoot issues during system migrations will be crucial in ensuring seamless transitions. Regularly reviewing MIS processes for compliance will allow you to contribute meaningfully towards operational excellence. By responding flexibly to ad-hoc requests and presenting clear insights through effective communication channels, you will help drive informed decision-making throughout the organisation. Success in this role hinges on your commitment to accuracy, your collaborative spirit within a supportive team environment, and your enthusiasm for continuous improvement.

* Support business Management Information System (MIS) requests and campaign activities by working closely with multiple departments and stakeholders to understand their needs.

* Collaborate with stakeholders to consolidate specific analytic requirements, preparing detailed functional design documentation that ensures clarity and alignment.

* Assist in maintaining analytics data models and managing data assets, contributing to the overall reliability of organisational information systems.

* Extract and compile data from diverse sources while ensuring the highest standards of data integrity and accuracy throughout all processes.

* Provide essential support during system migration projects, troubleshooting issues or discrepancies related to data or reporting as they arise.

* Conduct regular checks of MIS processes to guarantee compliance with established standards and procedures, safeguarding operational consistency.

* Continuously evaluate existing MIS processes with a view to improving efficiency and effectiveness, recommending enhancements where appropriate.

* Respond promptly to ad-hoc analysis requests and administrative tasks, demonstrating flexibility and commitment to supporting business needs.

* Communicate findings clearly through presentations and reports tailored for both technical and non-technical audiences.

* Work collaboratively within a team-oriented environment that values shared success, knowledge exchange, and supportive leadership.

What you bring:

The ideal candidate for the Data Analyst position brings proven experience in handling complex datasets within fast-moving environments. Your academic background equips you with foundational knowledge in statistics or information technology while your hands-on proficiency with SQL-and potentially Python, SAS or Tableau-enables you to deliver accurate results efficiently. You possess an innate ability for critical thinking which allows you to interpret stakeholder requirements thoughtfully before translating them into actionable insights. Your attention to detail ensures that every piece of extracted data meets rigorous quality standards. Experience gained within banking or financial services settings will serve as an asset but candidates from other sectors who demonstrate adaptability are equally encouraged. Your interpersonal skills foster harmonious relationships across teams; you communicate findings clearly whether addressing technical colleagues or broader audiences. Above all else, your dependability shines through as you consistently meet deadlines while remaining responsive to evolving priorities.

* Bachelor's degree in Statistics, Information Technology, Information Systems or other relevant disciplines related to data analytics is required for this position.

* Proficiency in SQL is essential; familiarity with additional tools such as Python, SAS, Tableau or OAS would be highly advantageous.

* Demonstrated analytical skills with the capacity to translate complex business requirements into practical solutions that add value.

* Ability to manage multiple priorities simultaneously while maintaining exceptional attention to detail and ensuring high standards of data quality.

* Experience within banking, financial services or fintech industries is preferred but not mandatory; transferable skills from similar sectors are welcomed.

* Excellent communication abilities including strong presentation skills; fluency in written and spoken English as well as Chinese (including Putonghua) is necessary.

* A collaborative approach combined with interpersonal sensitivity enables you to work effectively within diverse teams.

* Commitment to continuous learning through participation in training opportunities offered by the organisation.

* Dependability in meeting deadlines while adapting flexibly to changing business needs or urgent requests.

* A genuine interest in supporting others through knowledge sharing and contributing positively towards communal goals.

What sets this company apart:

This organisation stands out for its unwavering commitment to employee development within a nurturing environment that prioritises collaboration over competition. Here you'll find a workplace culture built on inclusivity-where every voice matters-and where supportive leadership guides personal growth at every stage of your career journey. Flexible working arrangements empower staff members to balance professional ambitions with personal wellbeing while generous training programmes ensure continual skill enhancement. The company's dedication extends beyond operational excellence; it actively fosters knowledge sharing among teams so everyone benefits from collective wisdom. Employees enjoy being part of a dependable network where achievements are celebrated together rather than individually-making this an ideal setting for those who thrive on connection, empathy and shared success.

What's next:

If you're ready to take the next step in your career journey as a Data Analyst within a truly supportive environment, we encourage you to apply now

Apply today by clicking on the link provided-your future starts here.

Who We Are

Established in 2019, Matrixport is the world's leading hub for all-in-one crypto financial services. We are committed to building an entry-grade ecosystem for the crypto space, by providing every user with a personalized super account that integrates products and services of crypto assets trading, investment, loan, custody, RWA, research and more. Through our diverse products and services, we empower users to achieve sustainable earnings from their crypto investments.

Matrixport holds licenses such as the Hong Kong Trust or Company Service Provider (TCSP)& Money Lender License, an Appointed Representative (AR) in the UK. We are also registered as a Money Services Business (MSB) in the US and a member of Switzerland's FINMA SRO-VFQ, ensuring our services meet the highest global standards and providing users with secure and compliant crypto financial solutions.

As Matrixport continually reshapes the business landscape of crypto assets appreciation at the core, we continuously introduce our offers, and keep integrating the crypto sectors to create a closed-loop ecosystem for crypto services, making it easy for everyone to access the crypto space and enjoy potential earnings of cryptocurrency.

Why Join Us

At Matrixport, we tackle complex problems as a team. We encourage openness and promote transparency, respect, and inclusivity. Every team member is valued and has a voice that can be heard. We are always in the search for intellectually curious and entrepreneurial individuals who are keen on making an impact in the crypto ecosystem, and in building a better product for the next one billion users.

Key Responsibilities

• Collect, clean, and validate data from multiple sources (on-chain / off-chain; transactional; operational) to ensure accuracy and consistency.
• Build dashboards and recurring reports to track key business metrics (e.g. user growth, retention, product usage, revenue, cost, risk exposure).
• Perform exploratory data analyses to identify trends, anomalies, or opportunities.
• Assist in defining, tracking, and refining product / feature performance metrics (e.g. feature adoption, funnels, conversion, churn).
• Support ad hoc analysis for business questions / hypotheses
• Collaborate with cross-functional teams (product managers, marketers, operations, risk, finance) to understand their analytics needs, translate into data requirements, and deliver insights.
• Help build and maintain data pipelines / event tracking to ensure reliable measurement of products and business processes.
• Assist in risk / fraud / compliance analysis as needed (identifying suspicious transaction patterns, deviations, etc.).
• Document analyses, data sources, assumptions, and deliver presentations / reports to stakeholders in clear, simple terms.

Qualifications & Skills

• Bachelor's degree in a quantitative field (Statistics, Mathematics, Data Science, Economics, Computer Science or similar).
• 0–3 years of experience in a data / analytics, business intelligence, or related role; internships / academic projects acceptable.
• Strong SQL skills for querying data.
• Familiarity with one or more scripting / programming languages for analysis (e.g. Python, R) is a plus.
• Experience or exposure to data visualization tools (e.g. Tableau, Power BI, Looker, etc.).
• Strong attention to detail; ability to ensure data quality and spot inconsistencies.
• Good problem-solving skills; intellectual curiosity to ask questions, dig into root causes, suggest hypotheses.
• Effective communication: able to explain findings to both technical and non-technical stakeholders.
• Interest in blockchain / crypto / DeFi and related financial products is highly preferred.

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Role
Overview
We are seeking a cooperative and detail-oriented data analyst to join our team. In this role, you will collaborate closely with Product Managers, Data Engineers, and the Sales Team to create marketing materials and data insights based on our data products. Your primary goal will be to help clients better utilize these products, as well as address any data-related queries they may have. The ideal candidate has a strong background in bilingual writing and data analysis, along with good team spirit and communication skills.

What You'll Do

• Product content

• Create bilingual (EN/ZH) product documentation: user guides, release notes, data dictionaries, and API references.

• Develop marketing materials: whitepapers, solution decks, case studies, blogs/newsletters, and website copy.

• Data insights

• Analyze our datasets (news/social/research) to surface signals, themes, and use cases; deliver clear visualizations and narratives.

• Track macro and sector themes in APAC and map findings to institutional investment workflows.

• Client enablement

• Address client questions on methodology, coverage, field definitions, metrics, and quality assessment; build reusable knowledge bases and best practices.

• Support pre-/post-sales demos and PoCs, including success criteria design and evaluation.

• Cross-functional collaboration

• Partner with Product/Engineering to prioritize improvements in data quality, usability, and documentation.

• Define and maintain key product health metrics (freshness, coverage, accuracy, latency) and publish periodic reports.

Requirements

• Bachelor's degree or above; preferred majors include Business Analytics, Data Science, Finance, Statistics, or Computer Science.
• Strong data skills: Python, SQL, Excel; experience in data cleaning, feature building, visualization, and basic statistical modeling.
• Proficiency with visualization/BI tools (Matplotlib/Seaborn, Tableau, Power BI).
• Excellent bilingual writing and communication skills (English and Chinese); ability to turn technical concepts into crisp, client-facing content.
• Strong collaboration and project management skills.

Nice to Have

• Experience in capital markets (quant/fundamental research, data vendor, FinTech, consulting) and understanding of buy-side/sell-side workflows.
• Familiarity with NLP, machine learning, or API/data pipeline usage.
• Experience authoring whitepapers, industry reports, case studies, or newsletters.

Location of work:
Hong Kong Science Park

Benefits

• Competitive salary
• Annual leave and group medical insurance
• Good team culture
• Assistance to apply for IANG VISA if applicable

Other:
Fresh graduates are welcome

Monthly Salary:
20K to 23K HKD

Role Overview

We are seeking a cooperative and detail-oriented data analyst to join our team. In this role, you will collaborate closely with Product Managers, Data Engineers, and the Sales Team to create marketing materials and data insights based on our data products. Your primary goal will be to help clients better utilize these products, as well as address any data-related queries they may have. The ideal candidate has a strong background in bilingual writing and data analysis, along with good team spirit and communication skills.

What You'll Do

• Product content

• Create bilingual (EN/ZH) product documentation: user guides, release notes, data dictionaries, and API references.

• Develop marketing materials: whitepapers, solution decks, case studies, blogs/newsletters, and website copy.

• Data insights

• Analyze our datasets (news/social/research) to surface signals, themes, and use cases; deliver clear visualizations and narratives.

• Track macro and sector themes in APAC and map findings to institutional investment workflows.

• Client enablement

• Address client questions on methodology, coverage, field definitions, metrics, and quality assessment; build reusable knowledge bases and best practices.

• Support pre-/post-sales demos and PoCs, including success criteria design and evaluation.

• Cross-functional collaboration

• Partner with Product/Engineering to prioritize improvements in data quality, usability, and documentation.

• Define and maintain key product health metrics (freshness, coverage, accuracy, latency) and publish periodic reports.

Requirements

• Bachelor's degree or above; preferred majors include Business Analytics, Data Science, Finance, Statistics, or Computer Science.
• Strong data skills: Python, SQL, Excel; experience in data cleaning, feature building, visualization, and basic statistical modeling.
• Proficiency with visualization/BI tools (Matplotlib/Seaborn, Tableau, Power BI).
• Excellent bilingual writing and communication skills (English and Chinese); ability to turn technical concepts into crisp, client-facing content.
• Strong collaboration and project management skills.

Nice to Have

• Experience in capital markets (quant/fundamental research, data vendor, FinTech, consulting) and understanding of buy-side/sell-side workflows.
• Familiarity with NLP, machine learning, or API/data pipeline usage.
• Experience authoring whitepapers, industry reports, case studies, or newsletters.

Location of work: Hong Kong Science Park

Benefits

·    Competitive salary

·    Annual leave and group medical insurance

·    Good team culture

·    Assistance to apply for IANG VISA if applicable

Other: Fresh graduates are welcome