89 Data Mining jobs in Hong Kong
Business Intelligence Analyst, Critical Facilities Support, APAC
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Job Description
Direct message the job poster from Vantage Data Centers
Talent Aquisition Partner, APAC at Vantage Data CentersAbout Vantage Data Centers
Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.
Site Operations
The Site Operations Department is responsible for the performance of mechanical and electrical systems, building maintenance, and the support of data modules within our data centers. This team is the face of Vantage to our customers, responsible for business continuity and striving for operational excellence.
About the Opportunity
Critical Facility Operations teams manage our buildings and ensure best-in-class data center services for our customers. These teams comprise of Critical Facility Engineers who are Vantage’s front-line for managing critical electrical and mechanical infrastructure operations. Providing best-in-class services requires in depth plant equipment knowledge, and proficiency in critical facility management processes including change, incident and problem management.
We are seeking a skilled Business Intelligence Analyst to support our Critical Facility Operations teams. This role will be crucial for providing site teams insight into their operational performance, providing business leaders data on areas of focus and improving team’s awareness and alignment to defined business processes. The Business Intelligence Analyst will work with stakeholders to define and build reporting products that support training, operational KPIs, business SLAs and process compliance. A key reporting focus will be on workflows based upon the Service Now platform, specifically focusing on Work Orders, Change, and Incident module usage. The ideal candidate will possess strong business acumen, experience in data and metrics development, and proficiency in Power BI. Experience with Software as a service type platform data would be beneficial but not mandatory.
About You
Ideally you will have these skills, qualifications, and characteristics:
- Bachelor's degree in Data Analysis, Computer Science, Information Technology, or a related field.
- 3+ years of experience as a business intelligence or data analyst with a focus on report and dashboard creation
- Strong proficiency in Power BI or equivalent platform for data visualization and reporting building.
- Proven experience as a Business Analyst, preferably in a data center or IT operations environment.
- Experience with data collection, sanitization, and metric development.
- Exceptional quantitative, analytical skills with the ability to exercise clear and sound judgement, while demonstrating solid problem-solving skills.
- Ability to work independently and as part of a team, managing multiple priorities and deadlines.
- Strong communication and presentation skills, with the ability to convey complex information clearly to various stakeholders.
- Strong organisational skills, with the ability to manage multiple projects simultaneously and meet deadlines.
- Attention to Detail and a High level of accuracy in written materials.
- Experience with Service Now or a related SaaS platform is a plus but not required.
Your Duties and Responsibilities
Key aspects:
- Develop and maintain business metrics to monitor the usage and efficiency of various workflows. Create reports and dashboards using Power BI to provide insights into performance and track adherence to processes.
- Manage the collection and sanitization of data related to operational processes and KPIs. Ensure data integrity and accuracy through regular audits and quality checks.
- Assist Critical Facility Operations teams in understanding and adhering to business expectations by reporting on key performance indicators (KPIs) relating to processes workflows.
- Supporting the collection of availability and operational data. Ensuring operational compliance of Site Operations, tracking against targets, reviewing and improving team performance
- Track and analyse performance to identify trends and areas for improvement. Develop and implement strategies to enhance operational efficiency and process adherence.
- Establish a structured approach to reporting standards and effectiveness to enable better business outcomes and improve regional collaboration
- Collaborate with cross-functional teams to ensure alignment and effective communication. Present findings and insights to stakeholders, providing clear and actionable recommendations.
- Conduct detailed business analysis to understand the operational needs and challenges of Critical Facility Operations teams. Provide recommendations for process improvements and optimizations.
- Stay updated on industry best practices and emerging trends in data center operations and business analysis. Continuously seek opportunities to enhance processes and tools used by the Critical Facility Operations teams
- Support our business strategies and standardisation of systems and processes, and process improvements in reporting capabilities
- Engage with key stakeholders to ensure that requirements are clearly documented, understood, communicated, planned and within the design of the system or process solutions and provide updates on milestones.
- Contribute towards improved business process maturity by identifying and prioritising improvement projects and implement changes to processes and operations to improve data capture
- Travel is expected to be less than 5%, occasionally for training purposes.
We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.
Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.
Vantage Data Centers is an Equal Opportunity Employer
Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.
Seniority level- Seniority level Associate
- Employment type Full-time
- Job function Analyst and Information Technology
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Vantage Data Centers by 2x
Sign in to set job alerts for “Business Intelligence Analyst” roles. Technical Business Analyst (Python Developer skills required) Techno Functional Business Analyst (Claims) Analyst, Data/ Business Analytics (Campaign Management, Consumer Banking) Business Analyst (Product Control or Risk background) Senior Business Analyst (Post Trade / Middle Office / Back Office)Central & Western District, Hong Kong SAR 6 days ago
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#J-18808-LjbffrJob No Longer Available
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Manager, Data Analytics
Posted 12 days ago
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Job Description
Join to apply for the Manager, Data Analytics role at Prudential Hong Kong
1 day ago Be among the first 25 applicants
Join to apply for the Manager, Data Analytics role at Prudential Hong Kong
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities
- Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
- Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
- Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
- Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
- Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
- Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
- Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
- Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
- Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
- Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
- Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
- Hands-on experience in machine learning & advanced analytics
- Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
- Proven experience in driving analytics strategy and business results
- Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
- Knowledge in data infrastructure and experience in vendor management
- Solid experience in Python & SQL is a must
- Experience in PowerBI is a plus
- Strong presentation, communication, interpersonal skills and a good team player
- Proficiency in English and Chinese (both Cantonese and Mandarin）
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
Referrals increase your chances of interviewing at Prudential Hong Kong by 2x
Sign in to set job alerts for “Data Manager” roles. Data Management Analyst, Chief Data Office Associate Manager, Performance & Data Analytics - Quick Commerce Assistant Manager, Data Management And Governance Senior Data & AI Program Manager - Data Science & Governance Analyst, Data/ Business Analytics (Campaign Management, Consumer Banking) Regional Assistant Infrastructure Manager, APAC Data Engineering Manager (Hands-on leadership role)Wan Chai District, Hong Kong SAR 2 months ago
Assistant Manager, Data Management And Governance Assistant Manager, Data Management (12 months fixed term contract) - Hong Kong Business Technology Consulting - AI & Data - Data Governance - Manager - Hong Kong Information Technology Manager (Data Analytics) Data Analyst & Business Strategy DirectorCentral & Western District, Hong Kong SAR 2 months ago
Senior Data Science Manager (GenAI + Data Science project) | HKD 80K - HKD 105K / mth | Leading FSI Manager, Data Analytics & AdministrationHong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago
Consulting - Data & Analytics - Data Strategy and Governance- Senior Manager - Hong Kong Analytics Manager (Business Banking) - Big data & AIWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrManager, Data Analytics
Posted 14 days ago
Job Viewed
Job Description
Join to apply for the Manager, Data Analytics role at Prudential Hong Kong
1 day ago Be among the first 25 applicants
Join to apply for the Manager, Data Analytics role at Prudential Hong Kong
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities
- Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
- Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
- Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
- Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
- Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
- Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
- Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
- Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
- Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
- Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
- Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
- Hands-on experience in machine learning & advanced analytics
- Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
- Proven experience in driving analytics strategy and business results
- Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
- Knowledge in data infrastructure and experience in vendor management
- Solid experience in Python & SQL is a must
- Experience in PowerBI is a plus
- Strong presentation, communication, interpersonal skills and a good team player
- Proficiency in English and Chinese (both Cantonese and Mandarin）
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
Referrals increase your chances of interviewing at Prudential Hong Kong by 2x
Sign in to set job alerts for “Data Manager” roles. Data Management Analyst, Chief Data Office Associate Manager, Performance & Data Analytics - Quick Commerce Assistant Manager, Data Management And Governance Senior Data & AI Program Manager - Data Science & Governance Analyst, Data/ Business Analytics (Campaign Management, Consumer Banking) Regional Assistant Infrastructure Manager, APAC Data Engineering Manager (Hands-on leadership role)Wan Chai District, Hong Kong SAR 2 months ago
Assistant Manager, Data Management And Governance Assistant Manager, Data Management (12 months fixed term contract) - Hong Kong Business Technology Consulting - AI & Data - Data Governance - Manager - Hong Kong Information Technology Manager (Data Analytics) Data Analyst & Business Strategy DirectorCentral & Western District, Hong Kong SAR 2 months ago
Senior Data Science Manager (GenAI + Data Science project) | HKD 80K - HKD 105K / mth | Leading FSI Manager, Data Analytics & AdministrationHong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago
Consulting - Data & Analytics - Data Strategy and Governance- Senior Manager - Hong Kong Analytics Manager (Business Banking) - Big data & AIWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrHead of Data & Analytics
Posted 12 days ago
Job Viewed
Job Description
Join us to apply for the Head of Data & Analytics role at Sun Life .
Discover how you can make a difference in the lives of individuals, families, and communities around the world. This role offers an exciting opportunity to lead our company's data & analytics strategy and transform how insights drive business decisions.
Job Description:- The Head of Data & Analytics will lead our data & analytics strategy, leveraging expertise in data analytics, business strategy, and AI/GenAI applications. The candidate will drive value creation through internal and external data assets, creating competitive advantages in our insurance business.
- Deep expertise in data analytics, business strategy, and AI/GenAI applications.
- Master's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or related fields.
- At least 18 years of experience in banking or insurance, with 5+ years in leadership roles.
- Proven success in applying advanced analytics and AI to achieve measurable business outcomes.
- Proficiency in analytics tools and programming languages (Python, R, SQL).
- Experience with data visualization platforms (Tableau, Power BI, Looker).
- Knowledge of cloud platforms (AWS, Azure, Google Cloud).
- Strong understanding of machine learning frameworks and AI technologies.
- Experience in data management, database architectures, and data governance.
- Ability to translate complex data into actionable insights for non-technical stakeholders.
- Excellent communication and presentation skills with strong business acumen.
- Developing analytics insights and strategies.
- Reporting and visualization.
- Advanced analytics and AI modeling.
- Data management and governance.
- Leadership and team development.
- Cross-functional collaboration.
- Risk mitigation and compliance related to data.
This job posting is active and will close on 04/09/2025.
#J-18808-LjbffrRegional Data Analytics Lead
Posted 12 days ago
Job Viewed
Job Description
About Our Client
Our client is a market leader with a global presence. To support their business growth, they are hiring a Regional Data Analytics Lead who is outspoken and hands-on.
Job Description
- Manage a team of 5 data analysts. Lead by example, enabling them to own data products.
- Drive data culture, define data access rights, establish best practices, and data collection procedures. Sustain and govern data quality. Ensure a reliable and user-friendly self-serve data environment. Act as HQ Group Data Lead to promote data culture and deliver presentations/talks across APAC data teams.
- Lead data analytics and transformation projects, derive insights, and communicate stories to business leaders.
- Promote decentralization of the data team, ensuring brands are equipped with the latest data and skills for self-serve BI.
- Collaborate closely with the data science team on AI projects.
The Successful Applicant
- Bachelor's degree in Business Administration, Statistics, Data Science, or relevant fields.
- 6+ years' experience in Data Analytics.
- Proficient in SQL and Python.
- Experience in dashboard development (Power BI, Tableau, Looker, etc.).
- Knowledge of ETL processes and Data Warehousing; familiarity with ML/Data Science is a plus. Strong ability to work with technical teams on data solutions.
- Experience with BigQuery and GCP is advantageous.
- Effective at making cross-region presentations to promote data culture and literacy.
- Excellent communication skills across multicultural business users. Strong data translation skills.
- Experience in data enablement with self-service BI hubs is a plus.
- Background in MNCs is highly preferred. Experience in B2C/Brands industries is a plus.
- Team leadership experience (3+ people) is required.
- Regional or global project experience is advantageous.
- Proficient in Chinese and English.
- A calm, logical, proactive leader with a can-do attitude and a mindset of continuous learning.
What's On Offer
Our client offers attractive compensation packages and a sustainable career path.
Contact: Eliza Lai
Quote job ref: JN-072024-6472763
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology and Engineering
Industries : Personal Care Product Manufacturing, Retail Groceries, Food and Beverage Manufacturing
Referrals increase your chances of interviewing at Michael Page by 2x.
Get notified about new Data Specialist jobs in Hong Kong SAR .
Note: This job posting appears to be active; no expiration indicators are present.
#J-18808-LjbffrData Analytics Specialist - NLS
Posted today
Job Viewed
Job Description
Our client, a global hedge fund, is seeking a data analyst to join their expanding team in Hong Kong. As the volume of data continues to grow, they are implementing innovative research methodologies to identify significant trends. The successful candidate will be committed to generating sustained alpha through a scientific approach, delivering fundamental investment insights.
The role:
- Collaborate with investment teams to identify and understand key data drivers influencing companies and sectors.
- Analyze data from diverse sources to evaluate complex investment hypotheses.
- Rapidly process data to recognize inflection points and assess its relevance to current investment questions.
- Conduct research and present findings to data analysts and investment teams in a clear and accessible manner.
- Utilize existing and new data sets to generate impactful ideas and decision-support tools for investment teams.
What you offer:
- Bachelor’s degree in a STEM discipline.
- At least 3+ years of relevant experience in the data analyst/science space.
- Exceptional attention to detail with a passion for exploring data thoroughly.
- Outstanding analytical and problem-solving abilities.
- Proven track record of asking insightful questions and deriving actionable conclusions from data.
- Quick to adapt and learn new technologies, skills, and industry concepts.
- Experience in data visualization using Tableau & Tableau Prep
- Alteryx or PowerBI exposure also would be advantageous.
- Proficient in SQL databases.
The sell:
- Competitive salary
- Strong brand name in the industry that will help create opportunities for your career in the near future
Head of Data & Analytics
Posted 5 days ago
Job Viewed
Job Description
Join us to apply for the Head of Data & Analytics role at Sun Life .
Discover how you can make a difference in the lives of individuals, families, and communities around the world. This role offers an exciting opportunity to lead our company's data & analytics strategy and transform how insights drive business decisions.
Job Description:- The Head of Data & Analytics will lead our data & analytics strategy, leveraging expertise in data analytics, business strategy, and AI/GenAI applications. The candidate will drive value creation through internal and external data assets, creating competitive advantages in our insurance business.
- Deep expertise in data analytics, business strategy, and AI/GenAI applications.
- Master's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or related fields.
- At least 18 years of experience in banking or insurance, with 5+ years in leadership roles.
- Proven success in applying advanced analytics and AI to achieve measurable business outcomes.
- Proficiency in analytics tools and programming languages (Python, R, SQL).
- Experience with data visualization platforms (Tableau, Power BI, Looker).
- Knowledge of cloud platforms (AWS, Azure, Google Cloud).
- Strong understanding of machine learning frameworks and AI technologies.
- Experience in data management, database architectures, and data governance.
- Ability to translate complex data into actionable insights for non-technical stakeholders.
- Excellent communication and presentation skills with strong business acumen.
- Developing analytics insights and strategies.
- Reporting and visualization.
- Advanced analytics and AI modeling.
- Data management and governance.
- Leadership and team development.
- Cross-functional collaboration.
- Risk mitigation and compliance related to data.
This job posting is active and will close on 04/09/2025.
#J-18808-LjbffrRegional Data Analytics Lead
Posted 13 days ago
Job Viewed
Job Description
About Our Client
Our client is a market leader with a global presence. To support their business growth, they are hiring a Regional Data Analytics Lead who is outspoken and hands-on.
Job Description
- Manage a team of 5 data analysts. Lead by example, enabling them to own data products.
- Drive data culture, define data access rights, establish best practices, and data collection procedures. Sustain and govern data quality. Ensure a reliable and user-friendly self-serve data environment. Act as HQ Group Data Lead to promote data culture and deliver presentations/talks across APAC data teams.
- Lead data analytics and transformation projects, derive insights, and communicate stories to business leaders.
- Promote decentralization of the data team, ensuring brands are equipped with the latest data and skills for self-serve BI.
- Collaborate closely with the data science team on AI projects.
The Successful Applicant
- Bachelor's degree in Business Administration, Statistics, Data Science, or relevant fields.
- 6+ years' experience in Data Analytics.
- Proficient in SQL and Python.
- Experience in dashboard development (Power BI, Tableau, Looker, etc.).
- Knowledge of ETL processes and Data Warehousing; familiarity with ML/Data Science is a plus. Strong ability to work with technical teams on data solutions.
- Experience with BigQuery and GCP is advantageous.
- Effective at making cross-region presentations to promote data culture and literacy.
- Excellent communication skills across multicultural business users. Strong data translation skills.
- Experience in data enablement with self-service BI hubs is a plus.
- Background in MNCs is highly preferred. Experience in B2C/Brands industries is a plus.
- Team leadership experience (3+ people) is required.
- Regional or global project experience is advantageous.
- Proficient in Chinese and English.
- A calm, logical, proactive leader with a can-do attitude and a mindset of continuous learning.
What's On Offer
Our client offers attractive compensation packages and a sustainable career path.
Contact: Eliza Lai
Quote job ref: JN-072024-6472763
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology and Engineering
Industries : Personal Care Product Manufacturing, Retail Groceries, Food and Beverage Manufacturing
Referrals increase your chances of interviewing at Michael Page by 2x.
Get notified about new Data Specialist jobs in Hong Kong SAR .
Note: This job posting appears to be active; no expiration indicators are present.
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About the latest Data mining Jobs in Hong Kong !
Vice President Data, Analytics & AI
Posted 12 days ago
Job Viewed
Job Description
Join to apply for the Vice President Data, Analytics & AI role at Mandarin Oriental
Join to apply for the Vice President Data, Analytics & AI role at Mandarin Oriental
Mandarin Oriental is looking for a Vice President Data, Analytics & AI to join our team at the Hong Kong Corporate Office.
Are you a master of craft? Do you thrive in a team that succeeds together, demonstrating integrity and respect while acting responsibly? Do you embrace a growth mindset? We invite you to become a fan of the exceptional.
Mandarin Oriental is the award-winning owner and operator of some of the most luxurious hotels, resorts and residences located in prime destinations around the world, with a strong development pipeline. Increasingly recognised for creating some of the world’s most sought-after properties, the Group provides legendary service inspired by Asian heritage whilst representing the very cutting-edge of luxury experiences.
About The Job
The VP of Data Analytics & AI will be a pivotal leader in shaping and executing Mandarin Oriental’s Data Analytics & AI vision, partnering with the business to drive impact.
The role will be responsible for leading the Analytics Team and building capabilities, driving alignment between analytics and related AI priorities and strategic objectives and ensuring the development and deployment of robust analytical solutions and capabilities across all business areas.
This role will serve as a critical bridge, translating complex business challenges into actionable outcomes and data-driven insights and will be a strong advocate and champion for Data Analytics & AI and support the education and transformation in Mandarin Oriental, to empower our colleagues with the power of data, and enable informed decision-making.
As a VP Data, Analytics & AI, you will be responsible for:
Data, Analytics & AI Strategy
- Define and own execution of Data, Analytics & AI strategy, in collaboration with the business and IT leaders, and organisation
- Owns and manages the strategic roadmap for Data, Analytics & AI across all business areas
- Lead, build and develop a motivated Analytics core team of Data Scientists, Analysts and Data Engineers
- Lead innovation in data science practices e.g., building machine learning or AI models, improving existing models and other analytics
- Advise the business on analytics and AI use cases, opportunities and value
- Translate business problems into specific analytics and technology enabled solutions
- Advise business units on potential opportunities for improvement relating to emerging data trends and issues
- Interact with business leaders to understand their analytics and AI product and talent needs, and ambitions
- Agree on priorities to address in the backlog, and align with senior leadership
- Manage delivery and governance of analytical projects and needs with different business areas
- Develop, oversee and communicate delivery goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
- Proactively communicate progress of analytics and AI roadmap and escalate any roadblocks to senior leadership
- Lead Mandarin Oriental’s transformation towards an analytically enabled organization
- Act as advocate and champion for analytics and AI
- Support the education and transformation in Mandarin Oriental, to enable informed decision-making.
- Collaborate with P&C to develop and drive the analytics and AI talent strategy and ensure the Analytics team’s capabilities to execute on roadmap
- Define and drive change activities around analytics and AI across MO to increase data literacy and capability to create value from Data, Analytics & AI
- Shape the hiring criteria and development programs of business leaders in collaboration with P&C to increase the level of analytical literacy across Mandarin Oriental
- 10+ years’ experience related to reporting, data and analytics, preferably with hospitality or luxury experience
- 5+ years’ experience in a director-level management role
- Strong understanding of emerging methodologies like Artificial Intelligence and its potential use cases to drive improvement
- Foundational knowledge of statistics, structured and unstructured data analysis, data visualization and machine learning
- Working knowledge and experience of modern data and analytics best practices around business intelligence, analytics and AI in a large Enterprise
- Knowledge leading the ideation & design of business intelligence and analytics use cases, and experience managing end-to-end delivery
- Proven ability to effectively prioritize across multiple business units
- Remarkable ability to communicate and translate analytics concepts successfully across engineers, data scientists and business stakeholders
- Strong leadership experience with proven ability to nurture and lead technical talent
- Team oriented, goals oriented, with proven track record in collaborating with multiple stakeholders
- Excellent interpersonal skills and strong verbal and written communications skills
- Seniority level Executive
- Employment type Full-time
- Job function Business Development and Sales
- Industries Hospitality
Referrals increase your chances of interviewing at Mandarin Oriental by 2x
Sign in to set job alerts for “Vice President of Analytics” roles. Assistant Vice President, Data Analytics & Business Planning Vice President, High Risk Review - APAC, Financial Crimes Office Asia, Intelligence and Analytics AVP/Senior Associate/ Associate, Fraud Analytics, Legal, Compliance & Secretariat AVP/Senior Associate/ Associate, Fraud Analytics, Legal, Compliance & Secretariat VP/AVP, Data/ Business Analytics (Campaign Management, Consumer Banking) AVP/Senior Associate, Specialist, Data/Business Analytics (Campaign Management, Consumer Banking) AVP/Senior Associate/Associate, Specialist, Data/Business Analytics (Campaign Management, Consumer Banking)Kowloon City District, Hong Kong SAR 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Analytics Manager - Morgan McKinley
Posted today
Job Viewed
Job Description
Responsibilities:
- Analyze customer and distribution channel data to identify growth opportunities (acquisition, cross-selling, retention, etc.).
- Partner with business teams to define analytics needs and deliver insights for decision-making.
- Support marketing campaigns with data-driven targeting, opportunity sizing, and lead generation.
- Measure campaign effectiveness and suggest improvements; explore new techniques for automation and optimization.
- Build and maintain dashboards to track campaign performance and customer/agent behavior.
- Work with IT to ensure secure, scalable, and integrated data solutions.
- Explore structured/unstructured data to enhance channel analytics and behavioral insights.
- Develop machine learning models (supervised/unsupervised) to improve analytics effectiveness.
- Bachelor's degree holder
- 8-10 years in data analytics, with 6-8 years in insurance sector.
- Hands-on experience in large-scale analytics projects.
- Proficient in Python & SQL; knowledge of machine learning is a plus.
- Experience in segmentation, predictive modeling, and analytics strategy.
- Skilled in stakeholder management, problem-solving, and driving results.
- Ability to lead projects independently with strong execution focus.
- Excellent presentation and communication skills (English & Chinese).
Vice President Data, Analytics & AI
Posted 5 days ago
Job Viewed
Job Description
Join to apply for the Vice President Data, Analytics & AI role at Mandarin Oriental
Join to apply for the Vice President Data, Analytics & AI role at Mandarin Oriental
Mandarin Oriental is looking for a Vice President Data, Analytics & AI to join our team at the Hong Kong Corporate Office.
Are you a master of craft? Do you thrive in a team that succeeds together, demonstrating integrity and respect while acting responsibly? Do you embrace a growth mindset? We invite you to become a fan of the exceptional.
Mandarin Oriental is the award-winning owner and operator of some of the most luxurious hotels, resorts and residences located in prime destinations around the world, with a strong development pipeline. Increasingly recognised for creating some of the world’s most sought-after properties, the Group provides legendary service inspired by Asian heritage whilst representing the very cutting-edge of luxury experiences.
About The Job
The VP of Data Analytics & AI will be a pivotal leader in shaping and executing Mandarin Oriental’s Data Analytics & AI vision, partnering with the business to drive impact.
The role will be responsible for leading the Analytics Team and building capabilities, driving alignment between analytics and related AI priorities and strategic objectives and ensuring the development and deployment of robust analytical solutions and capabilities across all business areas.
This role will serve as a critical bridge, translating complex business challenges into actionable outcomes and data-driven insights and will be a strong advocate and champion for Data Analytics & AI and support the education and transformation in Mandarin Oriental, to empower our colleagues with the power of data, and enable informed decision-making.
As a VP Data, Analytics & AI, you will be responsible for:
Data, Analytics & AI Strategy
- Define and own execution of Data, Analytics & AI strategy, in collaboration with the business and IT leaders, and organisation
- Owns and manages the strategic roadmap for Data, Analytics & AI across all business areas
- Lead, build and develop a motivated Analytics core team of Data Scientists, Analysts and Data Engineers
- Lead innovation in data science practices e.g., building machine learning or AI models, improving existing models and other analytics
- Advise the business on analytics and AI use cases, opportunities and value
- Translate business problems into specific analytics and technology enabled solutions
- Advise business units on potential opportunities for improvement relating to emerging data trends and issues
- Interact with business leaders to understand their analytics and AI product and talent needs, and ambitions
- Agree on priorities to address in the backlog, and align with senior leadership
- Manage delivery and governance of analytical projects and needs with different business areas
- Develop, oversee and communicate delivery goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
- Proactively communicate progress of analytics and AI roadmap and escalate any roadblocks to senior leadership
- Lead Mandarin Oriental’s transformation towards an analytically enabled organization
- Act as advocate and champion for analytics and AI
- Support the education and transformation in Mandarin Oriental, to enable informed decision-making.
- Collaborate with P&C to develop and drive the analytics and AI talent strategy and ensure the Analytics team’s capabilities to execute on roadmap
- Define and drive change activities around analytics and AI across MO to increase data literacy and capability to create value from Data, Analytics & AI
- Shape the hiring criteria and development programs of business leaders in collaboration with P&C to increase the level of analytical literacy across Mandarin Oriental
- 10+ years’ experience related to reporting, data and analytics, preferably with hospitality or luxury experience
- 5+ years’ experience in a director-level management role
- Strong understanding of emerging methodologies like Artificial Intelligence and its potential use cases to drive improvement
- Foundational knowledge of statistics, structured and unstructured data analysis, data visualization and machine learning
- Working knowledge and experience of modern data and analytics best practices around business intelligence, analytics and AI in a large Enterprise
- Knowledge leading the ideation & design of business intelligence and analytics use cases, and experience managing end-to-end delivery
- Proven ability to effectively prioritize across multiple business units
- Remarkable ability to communicate and translate analytics concepts successfully across engineers, data scientists and business stakeholders
- Strong leadership experience with proven ability to nurture and lead technical talent
- Team oriented, goals oriented, with proven track record in collaborating with multiple stakeholders
- Excellent interpersonal skills and strong verbal and written communications skills
- Seniority level Executive
- Employment type Full-time
- Job function Business Development and Sales
- Industries Hospitality
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