What Jobs are available for Master Data Management in Hong Kong?

The Senior Data Analyst/ Data Analyst plays a key role in driving data-driven decision-making and continuous improvement across supply chain and logistics operations. This role combines technical expertise in analytics, system optimization, and process improvement with business acumen and project leadership to enhance supply chain visibility, performance, and automation.

What's in it for you:

1. Supply Chain Data Strategy & Architecture

• Design and maintain scalable data architecture for sourcing and logistics systems.
• Ensure integrity, connectivity, and automation of data flows between SAP, OTM/TMS, and BI (Qlik-Sense) tools.
• Develop data quality governance and validation frameworks.

2. Advanced Analytics & Insight Generation

• Lead development of predictive and diagnostic analyses to identify process inefficiencies.
• Translate complex datasets into actionable insights and recommendations for management.
• Develop and maintain performance dashboards and KPIs (Qlik Sense, Power BI, etc.).

3. Digital Tool Development & Automation

• Build and enhance analytical tools using Python, SQL, and other technologies to support decision-making.
• Develop RPA or automation schedulers to streamline manual tasks.
• Oversee integration of internal and external systems (e.g. Forwarder, Wakeo, Oracle OTM).

4. Process Optimization & Business Partnership

• Partner with Sourcing Supply Chain and Transportation Operations teams to identify improvement areas.
• Lead data-driven continuous improvement initiatives and contribute to OTM/TMS system enhancements.
• Act as key liaison between business teams and IT for technical solution deployment.

5. Project Management & Leadership

• Lead cross-functional data and system improvement projects from scoping to deployment.
• Manage project timelines, deliverables, and stakeholder alignment to ensure successful implementation.
• Support management in defining digital transformation roadmaps and long-term data strategy.
• Mentor and coach junior analysts to build a data-driven and continuous improvement culture.

Who we are looking for:

• Degree in Data Science, Computer Science, Supply Chain, or related discipline.
• 3+ years' experience in data analytics, process improvement or logistics systems.
• Strong command of Python, SQL and BI tools (Qlik Sense / Power BI).
• Advanced Excel, VBA, or automation scripting (RPA, Power Automate…etc.).
• Knowledge of SAP is an advantage.
• Solid business understanding of sourcing, transportation, and warehouse operations.
• Excellent communication, project management and stakeholder alignment skills.
• Fluent in English and Chinese.

We offer attractive remuneration package to the right candidate including 5-day work, double pay, discretionary bonus, family leave & birthday leave, medical, dental, life insurance scheme, etc.  Interested parties please apply with full resume with expected salary and current salary to Human Resources Department.

Job Responsibilities

• Responsible for various data activities, which include data mining, database management and maintenance, data quality and data analysis
• Perform data request & data merging
• Collaborate and work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• Collaborate with marketing team, technology team and various systems for execution and launches

Job Requirements

• Bachelor's Degree or above
• At least 3+ years experience in data analytics, preferably within FS or banking industry, but not a must
• Strong organizational and people leadership skills
• Willing to work in a fast-paced global environment
• Excellent communication skills
• A strong team player with excellent interpersonal skills

A professional investment team is looking for a
hands-on Data Analyst
to support reporting and operational processes during a system upgrade. This role is ideal for someone who enjoys working with data in a structured, collaborative environment and is comfortable with tight reporting cycles.

Key Responsibilities:

• Assist with quarterly investment reporting and data management.
• Contribute to the team's transition to a new reporting system.
• Work closely with a small team to ensure timely and accurate data delivery.
• Use Excel extensively for reporting tasks; experience with investment data systems is a plus.

Required Skills & Experience:

• Fluent in Cantonese and English
  – both spoken and written.
• Strong proficiency in
  Excel
  and
  Word
  .
• Familiarity with systems such as
  iLevel
  or
  Efront
  is advantageous.
• Background in investment reporting, private equity, or similar fields is preferred.

Ideal Candidate:

• Friendly, proactive, and adaptable to team dynamics.
• Comfortable working in a fully on-site role.
• Open to experienced professionals with relevant skills (budget considerations apply).
• Able to contribute immediately and support the team through a system transition expected to complete by early 2026.

Deadline: 1 Nov, 2025

Our insurance client is seeking an experienced data analyst.

Job Duties:

• Create and manage dashboards using tools like Power BI to visualize app data for both internal stakeholders and agents, facilitating efficient tracking of metrics and performance.
• Develop and maintain digital applications that display data and progress to agents, ensuring clarity and usability.
• Design and execute User Acceptance Testing (UAT) logic to ensure applications function as intended, verifying data accuracy and integrity.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Proficient in SQL for data verification, and experience with Python for internal dashboard development.
• Familiarity with Power BI or similar data visualization tools for creating impactful dashboards.
• Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights.
• Excellent verbal and written communication skills, capable of conveying technical concepts to non-technical stakeholders.
• Good command of spoken Chinese and English

about the company.Global Insurance Company

about the job.

• Extract and transform data from various sources using SQL to support reporting and analysis needs
• Develop and maintain automated data pipelines and processing using Python
• Create dashboards and reports to visualise trends
• Conduct in-depth analysis of business data to identity actionable insights, opportunities for optimisation, and potential risks
• Ensure data quality and integrity across all reporting and analytical outputs

skills & experiences required.

• Bachelors degree in quantitative field such as statistics, computer science, mathematics, or equivalent
• 1-2 years of working experience in a Data Analyst or similar role
• Strong proficiency in SQL and Python
• Experienced with data visualisation tools (e.g., Tableau, Power BI, etc.)
• Solid understanding of statistical analysis and data modeling principles
• Excellent communication skills
• Proficient in both Cantonese and English

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