976 Senior Analyst jobs in Hong Kong

Join to apply for the Technical Business Analyst/ Data Analyst role at Michael Page

Join to apply for the Technical Business Analyst/ Data Analyst role at Michael Page

• Working with Project Managers to deliver activities in a timely fashion
  

• Leading Financial Institution
• Working with Project Managers to deliver activities in a timely fashion
  

• Working with Programme and Project Managers to deliver activities in a timely fashion, ensuring optimal quality and a focus on user experience.
• Managing diverse teams within an inclusive team culture where people are recognised for their contribution.
• Collaborating cross-geography and cross-culture to develop relationships with practitioners to ensure diverse contribution to solutions.
• Desire to develop individually in a lead role and support us to drive continuous improvement to ways of working within the team.
• Collect, clean, and analyse large data-sets from various sources, ensuring accuracy and integrity.
• Develop and maintain data pipelines to automate data processing and reporting.
• Design and conduct statistical analyses to identify trends, patterns, and anomalies.
• Build dashboards and visualisations to effectively communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Stay up-to-date with the latest data analysis tools and techniques.
  

• An experienced BA, or equivalent experience in a role centred around process transformation or improving user experience.
• Proven experience as a Data Analyst or in a similar technically focused role.
• Strong proficiency in SQL and Excel (or similar spreadsheet software).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience of collaborating and managing relationships with business stakeholders, at all levels, with the ability to challenge where required.
• Experience in managing and/or mentoring and developing other team members.
• Ability to quickly understand high level business processes and problems and present solutions and options.
• Being a team player with an ability to work collaboratively and positively with others in an open, friendly, flexible and facilitating manner.
• Ability to define scope and distil lots of information into high level understandable concepts and business language.
• Experience of process mapping, requirements elicitation techniques & Business Case writing.
• Ability to navigate through and manage change in a fast-paced environment.
• Ability to work in a complex partnership model, with an ability to decide which style of analysis and project delivery is appropriate.
  

• If you have skills or experience or equivalent qualifications in any of the following areas, it's advantageous but not critical:
• Lean six sigma or equivalent certification
• Designing user experiences and design thinking
• BPMN/Excel/Power BI
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Financial Services, Accounting, and Banking

Referrals increase your chances of interviewing at Michael Page by 2x

Get notified about new Technical Business Analyst jobs in Central & Western District, Hong Kong SAR .

Central & Western District, Hong Kong SAR 2 weeks ago

Kwun Tong District, Hong Kong SAR 6 days ago

New Territories, Hong Kong SAR 1 week ago

Wan Chai District, Hong Kong SAR 2 days ago

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

Overview

Crimson Education is the world’s leading college admissions consultancy, with over 1,320 Ivy League offers and 2,140 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. We’ve raised over $89M USD from top-tier global investors, including Tiger Global, and have expanded into over 30 countries. We were recently featured on the front page of the Wall Street Journal — read the article here.

The Role

We’re looking for a revenue-driven, high-agency Data Analyst to supercharge our marketing performance. This role is perfect for someone who thrives in a fast-paced environment, owns their projects end-to-end, and has a relentless focus on driving tangible business outcomes.

You’ll be a key player in transforming how we leverage data to optimise marketing spend, improve ROI, and accelerate growth across multiple regions. You’ll build scalable reporting infrastructure in Metabase using Snowflake, maintain a reliable source of truth for marketing performance, and support the implementation of integrations and attribution models that improve decision-making across the funnel.

You’ll sit within the HQ Marketing team, reporting to the Senior Product Manager, Growth, and collaborate closely with website, engineering, paid media, content, and CRM teams — as well as learn from other data professionals across the business.

• Build and maintain high-impact dashboards in Metabase or Looker Studio that unlock revenue-driving insights, leveraging data from Snowflake, Meta, Google Ads, GA4, Marketo, Salesforce, and internal tools.
• Generate actionable, revenue-focused insights to guide campaign strategies, reduce customer acquisition costs, and maximise return on ad spend (ROAS).
• Take full responsibility for the data lifecycle — from extraction to insight — ensuring clean, consistent, and trustworthy data flows across platforms and teams.
• Develop and iterate on multi-touch attribution models, enabling precise measurement of marketing impact across the full customer journey.
• Spearhead offline conversion integrations (e.g., Salesforce → Google Ads), defining requirements and collaborating with engineers to deliver seamless data flows.
• Identify and eliminate bottlenecks in data processes, improving the speed and reliability of performance insights.
• Act as a trusted data partner to marketing, product, and engineering teams, proactively identifying opportunities to drive revenue growth.

• Revenue Impact: Marketing outcomes improve over time — driven by your reporting, integrations, and insight delivery — and reflected in stronger ROAS and lower acquisition costs.
• Trusted Data: We have clearly defined, consistently maintained dashboards and accurate, aligned data across platforms — trusted by stakeholders as a single source of truth to support fast, informed decision-making.
• Scalable & Effective Solutions: You develop attribution models that clarify the impact of marketing initiatives across the customer journey — while building scalable data infrastructure that grows with the business and supports advanced analytics needs.
• Proactive Ownership: You independently identify and resolve data discrepancies, optimise attribution, and drive ongoing improvements without waiting for direction.
• Cross-Functional Influence: Marketing, product, and engineering teams actively seek your input to shape strategy and execution.

• 2–5 years in data science, analytics, or a related role, ideally with a focus on revenue-driven performance marketing.
• Expert-level SQL, Python, and hands-on experience with data warehouses like Snowflake. Familiarity with Node.js is a plus.
• Deep understanding of platforms like Metabase, Looker, Google Ads, Meta, GA4, Salesforce, and Marketo.
• Self-starter who takes full ownership of projects, thrives in ambiguity, and drives outcomes without micromanagement.
• Ability to break down complex data problems, identify patterns, and derive insights that directly impact revenue.
• Skilled at simplifying complex data for non-technical stakeholders, ensuring insights are understood and acted upon.
• Always looking for ways to optimise, iterate, and scale data processes to unlock greater business impact.

• Rapidly growing start up, with a flexible working environment where you will be empowered to structure how you work
• Limitless development and exposure - our internal promotions/role changes made up 33% of all recruitment last year
• $1000 individual training budget per year, we love to ‘Level Up’ (it’s one of our core values)!
• Psychologist on staff
• Insightful fireside chats and workshops to help support our high-performing and ambitious team
• Radical Candor is a feedback approach we live by
• We’re a global player with 28 markets (and growing) across the globe. Most roles have the option to work from one of our many offices or remotely!

Please keep an eye on your spam/junk email folder for correspondence from Team Tailor.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Education Management

Responsibilities

• Analyze historical claims and customer data to support risk evaluation
• Build predictive models to estimate the likelihood of future claims
• Assist to set premium rates based on data-driven risk profiles
• Support actuaries with data preparation and statistical analysis
• Assist in building models for pricing, reserving, and forecasting
• Forecast future financial outcomes using historical data and market indicators
• Ensure regulatory compliance through accurate financial reporting

• Entry level

• Contract

• Analyst

• Insurance

Zung Fu is seeking a talented Data Analyst for a 1-year contract to analyze complex datasets, deliver actionable insights, and support data-driven decision-making. The ideal candidate will have 2-3 years of experience in data analysis and a keen interest in data engineering and cloud development, contributing to data pipeline optimization, cloud-based analytics solutions, and automation of tasks and processes.

• Collect, clean, and analyse large datasets from diverse sources to uncover trends, patterns, and actionable insights.
• Develop and maintain reports, dashboards, and visualizations using tools like Tableau, Power BI, or Looker.
• Collaborate with cross-functional teams to define business requirements and deliver data-driven solutions.
• Perform statistical analysis and basic modelling to support business forecasting and decision-making.
• Assist in designing and optimizing data pipelines, leveraging cloud platforms (e.g., AWS, Azure, or Google Cloud) for efficient data processing.
• Automate routine tasks and processes, such as data extraction, transformation, reporting, and workflow orchestration, using scripting languages (e.g., Python) and automation tools.
• Ensure data accuracy, integrity, and security in all analyses and workflows.
• Present findings and recommendations clearly to both technical and non-technical stakeholders.
• Explore opportunities to integrate cloud-based tools and data engineering practices to enhance analytics workflows.
• Stay updated on trends in data analytics, data engineering, cloud development, and process automation.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 2-3 years of professional experience as a Data Analyst or in a similar role.
• Proficiency in SQL for querying and manipulating data.
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Familiarity with programming languages like Python or R for data analysis, scripting, and automation.
• Interest in data engineering, with exposure to ETL processes, data pipelines, or tools like Apache Airflow.
• Enthusiasm for cloud development, with basic knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Strong problem-solving skills and attention to detail.
• Ability to communicate complex insights effectively to diverse audiences.
• Self-motivated, with the ability to work independently and meet deadlines in a fast-paced environment.

Working Location: Chai Wan

Overview

Join to apply for the Data Analyst role at HKT Home .

You will be working closely with the Sales and Marketing team, Product team and Business Performance team to perform quantitative data analysis on business performance. You will utilize advanced analytics, segmentation, and modeling techniques to deliver actionable intelligence and deep insights across our customer base. By unraveling customer characteristics, behaviors, propensity, and value, you will play a vital role in driving strategic decision-making.

You will be working closely with the Sales and Marketing team, Product team and Business Performance team to perform quantitative data analysis on business performance. You will utilize advanced analytics, segmentation, and modeling techniques to deliver actionable intelligence and deep insights across our customer base. By unraveling customer characteristics, behaviors, propensity, and value, you will play a vital role in driving strategic decision-making.

• Identify and execute data analytics initiatives to continuously enhance our understanding of customer behaviors and trends across businesses and brands, aligning with business objectives.
• Utilize your expertise in coding and programming to perform data transformations and mine large datasets, extracting meaningful insights that drive decision-making, addressing complex and unstructured business questions through quantitative problem-solving.
• Apply cutting-edge data mining and predictive modeling techniques to analyze customer segmentation and behavior, with a focus on cross-selling, retention, engagement, and growth.
• Monitor day-to-day business activities closely, identifying potential risks and opportunities that drive meaningful business impact.
• Build and maintain comprehensive reports and interactive dashboards that provide actionable intelligence to stakeholders across the organization.
• Collaborate with IT teams to drive the long-term development of business intelligence solutions and leverage innovations in Cloud, Big Data, and AI technologies.

• University degree holder in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 1 year of proven experience as a Data Analyst with a focus on pattern recognition and data analysis is preferred.
• Proficiency in SQL and Python for data manipulation, transformation, modelling, and analysis.
• Strong knowledge of statistical methods and modelling techniques.
• Experience with data visualization tools, such as Tableau, Qlik Sense, or similar.
• Familiarity with cloud solutions, such as AWS, GCP and BigQuery, is a plus.
• Excellent analytical and problem-solving skills.
• Strong analytical, business acumen, problem-solving and inter-personal skills.
• Capable of working effectively and efficiently, and able to work well under pressure.
• Excellent command of written and spoken English and Chinese.
• Fresh graduates will also be considered.

HKT is an equal opportunity employer and welcomes applications from all qualified candidates. Information provided will be treated in strict confidence and will only be used for recruitment-related purposes. Personal data provided by job applicants will be used strictly in accordance with the employer's privacy statement, a copy of which will be provided immediately upon request.

Islands District, Hong Kong SAR

• Analyze historical claims and customer data to support risk evaluation
• Build predictive models to estimate the likelihood of future claims
• Assist to set premium rates based on data-driven risk profiles
• Support actuaries with data preparation and statistical analysis
• Assist in building models for pricing, reserving, and forecasting
• Forecast future financial outcomes using historical data and market indicators
• Ensure regulatory compliance through accurate financial reporting

• Entry level

• Contract

• Analyst

• Insurance

Crimson Education is the world’s leading college admissions consultancy, with over 1,320 Ivy League offers and 2,140 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. We’ve raised over $89M USD from top-tier global investors, including Tiger Global, and have expanded into over 30 countries. We were recently featured on the front page of the Wall Street Journal — read the article here.

The Role

We’re looking for a revenue-driven, high-agency Data Analyst to supercharge our marketing performance. This role is perfect for someone who thrives in a fast-paced environment, owns their projects end-to-end, and has a relentless focus on driving tangible business outcomes.

You’ll be a key player in transforming how we leverage data to optimise marketing spend, improve ROI, and accelerate growth across multiple regions. You’ll build scalable reporting infrastructure in Metabase using Snowflake, maintain a reliable source of truth for marketing performance, and support the implementation of integrations and attribution models that improve decision-making across the funnel.

You’ll sit within the HQ Marketing team, reporting to the Senior Product Manager, Growth, and collaborate closely with website, engineering, paid media, content, and CRM teams — as well as learn from other data professionals across the business.

• Build and maintain high-impact dashboards in Metabase or Looker Studio that unlock revenue-driving insights, leveraging data from Snowflake, Meta, Google Ads, GA4, Marketo, Salesforce, and internal tools.
• Generate actionable, revenue-focused insights to guide campaign strategies, reduce customer acquisition costs, and maximise return on ad spend (ROAS).
• Take full responsibility for the data lifecycle — from extraction to insight — ensuring clean, consistent, and trustworthy data flows across platforms and teams.
• Develop and iterate on multi-touch attribution models, enabling precise measurement of marketing impact across the full customer journey.
• Spearhead offline conversion integrations (e.g., Salesforce → Google Ads), defining requirements and collaborating with engineers to deliver seamless data flows.
• Identify and eliminate bottlenecks in data processes, improving the speed and reliability of performance insights.
• Act as a trusted data partner to marketing, product, and engineering teams, proactively identifying opportunities to drive revenue growth.

• Revenue Impact: Marketing outcomes improve over time — driven by your reporting, integrations, and insight delivery — and reflected in stronger ROAS and lower acquisition costs.
• Trusted Data: We have clearly defined, consistently maintained dashboards and accurate, aligned data across platforms — trusted by stakeholders as a single source of truth to support fast, informed decision-making.
• Scalable & Effective Solutions: You develop attribution models that clarify the impact of marketing initiatives across the customer journey — while building scalable data infrastructure that grows with the business and supports advanced analytics needs.
• Proactive Ownership: You independently identify and resolve data discrepancies, optimise attribution, and drive ongoing improvements without waiting for direction.
• Cross-Functional Influence: Marketing, product, and engineering teams actively seek your input to shape strategy and execution.

• 2–5 years in data science, analytics, or a related role, ideally with a focus on revenue-driven performance marketing.
• Expert-level SQL, Python, and hands-on experience with data warehouses like Snowflake. Familiarity with Node.js is a plus.
• Deep understanding of platforms like Metabase, Looker, Google Ads, Meta, GA4, Salesforce, and Marketo.
• Self-starter who takes full ownership of projects, thrives in ambiguity, and drives outcomes without micromanagement.
• Ability to break down complex data problems, identify patterns, and derive insights that directly impact revenue.
• Skilled at simplifying complex data for non-technical stakeholders, ensuring insights are understood and acted upon.
• Always looking for ways to optimise, iterate, and scale data processes to unlock greater business impact.

• Rapidly growing start up, with a flexible working environment where you will be empowered to structure how you work
• Limitless development and exposure - our internal promotions/role changes made up 33% of all recruitment last year
• $1000 individual training budget per year, we love to ‘Level Up’ (it’s one of our core values)!
• Psychologist on staff
• Insightful fireside chats and workshops to help support our high-performing and ambitious team
• Radical Candor is a feedback approach we live by
• We’re a global player with 28 markets (and growing) across the globe. Most roles have the option to work from one of our many offices or remotely!

Please keep an eye on your spam/junk email folder for correspondence from Team Tailor.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Education Management

Join to apply for the Data Analyst role at HKT Home .

You will be working closely with the Sales and Marketing team, Product team and Business Performance team to perform quantitative data analysis on business performance. You will utilize advanced analytics, segmentation, and modeling techniques to deliver actionable intelligence and deep insights across our customer base. By unraveling customer characteristics, behaviors, propensity, and value, you will play a vital role in driving strategic decision-making.

You will be working closely with the Sales and Marketing team, Product team and Business Performance team to perform quantitative data analysis on business performance. You will utilize advanced analytics, segmentation, and modeling techniques to deliver actionable intelligence and deep insights across our customer base. By unraveling customer characteristics, behaviors, propensity, and value, you will play a vital role in driving strategic decision-making.

• Identify and execute data analytics initiatives to continuously enhance our understanding of customer behaviors and trends across businesses and brands, aligning with business objectives.
• Utilize your expertise in coding and programming to perform data transformations and mine large datasets, extracting meaningful insights that drive decision-making, addressing complex and unstructured business questions through quantitative problem-solving.
• Apply cutting-edge data mining and predictive modeling techniques to analyze customer segmentation and behavior, with a focus on cross-selling, retention, engagement, and growth.
• Monitor day-to-day business activities closely, identifying potential risks and opportunities that drive meaningful business impact.
• Build and maintain comprehensive reports and interactive dashboards that provide actionable intelligence to stakeholders across the organization.
• Collaborate with IT teams to drive the long-term development of business intelligence solutions and leverage innovations in Cloud, Big Data, and AI technologies.

• University degree holder in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 1 year of proven experience as a Data Analyst with a focus on pattern recognition and data analysis is preferred.
• Proficiency in SQL and Python for data manipulation, transformation, modelling, and analysis.
• Strong knowledge of statistical methods and modelling techniques.
• Experience with data visualization tools, such as Tableau, Qlik Sense, or similar.
• Familiarity with cloud solutions, such as AWS, GCP and BigQuery, is a plus.
• Excellent analytical and problem-solving skills.
• Strong analytical, business acumen, problem-solving and inter-personal skills.
• Capable of working effectively and efficiently, and able to work well under pressure.
• Excellent command of written and spoken English and Chinese.
• Fresh graduates will also be considered.

HKT is an equal opportunity employer and welcomes applications from all qualified candidates. Information provided will be treated in strict confidence and will only be used for recruitment-related purposes. Personal data provided by job applicants will be used strictly in accordance with the employer's privacy statement, a copy of which will be provided immediately upon request.

Islands District, Hong Kong SAR

Zung Fu is seeking a talented Data Analyst for a 1-year contract to analyze complex datasets, deliver actionable insights, and support data-driven decision-making. The ideal candidate will have 2-3 years of experience in data analysis and a keen interest in data engineering and cloud development, contributing to data pipeline optimization, cloud-based analytics solutions, and automation of tasks and processes.

• Collect, clean, and analyse large datasets from diverse sources to uncover trends, patterns, and actionable insights.
• Develop and maintain reports, dashboards, and visualizations using tools like Tableau, Power BI, or Looker.
• Collaborate with cross-functional teams to define business requirements and deliver data-driven solutions.
• Perform statistical analysis and basic modelling to support business forecasting and decision-making.
• Assist in designing and optimizing data pipelines, leveraging cloud platforms (e.g., AWS, Azure, or Google Cloud) for efficient data processing.
• Automate routine tasks and processes, such as data extraction, transformation, reporting, and workflow orchestration, using scripting languages (e.g., Python) and automation tools.
• Ensure data accuracy, integrity, and security in all analyses and workflows.
• Present findings and recommendations clearly to both technical and non-technical stakeholders.
• Explore opportunities to integrate cloud-based tools and data engineering practices to enhance analytics workflows.
• Stay updated on trends in data analytics, data engineering, cloud development, and process automation.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 2-3 years of professional experience as a Data Analyst or in a similar role.
• Proficiency in SQL for querying and manipulating data.
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Familiarity with programming languages like Python or R for data analysis, scripting, and automation.
• Interest in data engineering, with exposure to ETL processes, data pipelines, or tools like Apache Airflow.
• Enthusiasm for cloud development, with basic knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Strong problem-solving skills and attention to detail.
• Ability to communicate complex insights effectively to diverse audiences.
• Self-motivated, with the ability to work independently and meet deadlines in a fast-paced environment.

Working Location: Chai Wan