8 Data Modeling jobs in Vietnam
Data Management Manager
Posted today
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Job Description
- The **Data Management Manager** is crucial within the D&T department at HEINEKEN International, spearheading the APAC Data & Analytics Hub. It is central to operationalizing our strategy of establishing standardized and scalable data foundations across the region and enterprise. Renowned for delivering cutting-edge innovation, robust technology, and advanced analytics, the D&T department equips HEINEKEN with a significant technological advantage, aligning with our ambitious organizational goals.
- This position is pivotal in operationalising our strategy to establish standardised and scalable data foundations across the region and the enterprise, underpinning our commitment to enhancing operational decision-making through high-quality and consistent data.
**Job Overview**:
- The **Data Management Manager** oversees data governance and quality for an entire region, setting strategic direction, ensuring compliance with global standards, and leading data initiatives across OpCos within the region.
**Key Responsibilities**:
- Adhere to data governance frameworks and policies set by the Head of D&A and the Regional Data Lead, aligning with standards.
- Develop and implement an Enterprise-wide Data Model with clear processes.
- Monitor, report on, and analyse data management KPIs.
- Coordinate with Local Data Stewards to ensure data quality and control.
- Drive the development and adoption of data management best practices.
- Provide insights for strategic decision-making and future directions.
- Enhance collaboration and communication within the APAC region.
- Lead the mentorship and development of Data Stewards/Requestors (team of 6)
**Job Requirements**:
**Education & Experience**:
- Masters in IT, Data Management, or related field.
- 8+ years in Data Management with leadership experience.
- 2+ years in team/project management.
- Regional, multi-site, and multi-cultural experience preferred.
- Familiar with Service Request tools and ERP systems.
- Proficient in MS Office; fluent in English.
- Knowledge of the FMCG industry and relevant business domains.
- Excellent written and verbal English and local language.
- Leadership Skill: Communication skills, Stakeholder Management, Influencing skills
- Demonstrated data management and governance expertise.
- Leadership across diverse teams and locations.
- Strong analytical skills with a focus on data management KPIs.
- Proficiency in data management tools and technologies.
- Excellent communication and stakeholder engagement skills.
- Proven ability to contribute to strategic directions and motivate team progress.
- Embrace customer value, team empowerment, swift action, and continuous learning principles.
- Display self-reflection, adaptability, collaboration, and resilience.
- Drive personal and team development through awareness of strengths and weaknesses.
**Working Condition**:
- Office-based role (with Hybrid Working) with standard working hours in Ho Chi Minh head office.
Head of Data Management
Posted today
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Job Description
- To establish a Center of Excellence for BI & Analytics to support the business in making better decisions, including but not limited to the areas of customer selection criteria, product pricing, employee profiling and profitability drivens apart from producing high quality, sophisticated management information reports required & helpful in governing & growing the business.
- To establish the infrastructure including DWH & BI tools, build a large team of capable staff through recruitment, training & retention & implement the reports & models necessary for delivering the objective.
Regular Activities
- Implement data governance mechanism including processes, policies, roles & responsibilities.
- Establish & maintain data warehouse & data marks with glossary & data models as well as ETL tools to implement a federated BI structure.
- Implement & maintain a reporting system for primary & core management reports as well as ad hoc requests.
- Assume key responsibilities for ensuring data quality.
- Develop models for customer segmentation, models including cross sales campaigns, process optimization, revenue & loss forecasting, staff profiling, unit costing, product & segment profitability models, capacity planning & others.
- Participate in development, maintenance & validation of credit & collection scorecards.
- Implement risk reporting & monitoring platform for credit & non-credit risk.
- Facilitate design & development of academic curriculum in the area of BI & Analytics.
- Compare & develop BICC as per cutting-edge & gold standards internationally to make a best-in-class CoE
Data Management (Background It) - Fresher
Posted today
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Job Description
- Designing, developing, and implementing innovative RPA processes in getting data, generating reports, and mailing automation.
- Identifying and analyzing the improvements for the current process.
- Build, manage, and customize a program of MS Access, SQL data server following request from management.
- Providing a solution to any identified and potential risks
- Automate tracking data input to the Cello system (FIS/VMS)
- Supporting Tracking teams in daily activities
- Responsible for setting up operational index and monitoring
- Responsible for understanding & gathering internal/external data to find the operational index
- Responsible for analyzing & identifying internal/external customer operation data to find Root-Causes, impacts, Opportunities, etc.)
- Responsible for finding insight and cooperating with the Tracking Center group to support developing
- RPA task & designing detailed solution in terms of process efficiencies, the system required
- Functionality enhancement, etc. for S.E.Asia subsidiaries
**REQUIREMENTS**:
- Background IT. Fresher is acceptable
- English - intermediate level
**Job Types**: Full-time, New-Grad, Permanent
Pay: 10,000,000₫ - 15,000,000₫ per month
Data Scientist - Portfolio Management
Posted 23 days ago
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Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 23 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
- Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 7 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 7 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
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Data Engineering Lead/data Architect, Kms Healthcare
Posted today
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Job Description
KMS Healthcare is the intersection of world-class technologists and proven Healthcare industry expertise.
We empower companies to build transformative next-gen technologies to bring about game-changing resolutions to healthcare’s most challenging problems. Our solutions ensure improved data exchange while maintaining regulatory compliance and data-driven requirements. We are committed to providing innovative tools and expertise to providers, payers, life sciences, and medical technology vendors in order to help create industry-leading health solutions.
At KMS Healthcare, we leverage technologies to enable a modern way of health service. Covering end-to-end product development, we helped numerous U.S. health practices increase health treatment quality, reduce costs, and save people's lives.
Instead of wishing people good health, join us to make it happen.
**Job Description**:
- Design and implement data strategy for current and new data services solutions
- Interface with developers, product managers, and product analysts to understand data needs
- Provide input to estimates of quality and quantity of resources required to successfully implement business solutions
- Responsible for working as part of Application Development teams to plan, implement, and test new releases into our production systems environment
- Assist and oversee the delivery of special projects and enhancements; planning, resourcing and executing with compliance with scrum methodologies
- Deliver quality software to production in a consistent and repeatable manner
- Create and maintain efficient workflows for software development and delivery
- Mentor other engineers in data engineering design and automated software delivery
- Provide mentoring/training for junior members if any.
- Perform other tasks assigned by the Leader/ Manager.
**Qualifications**:
**General requirements**:
- At least intermediate skill level of English and have the ability to present to client’s technical leaders and executive team as well as participating online conferences in English
- Good for logical thinking and problem solving
- Ability to self-learn and adapt to new technologies quickly
- Digital Thinker, Product Mindset, Can-do attitude, and Adaptable
- Ability to handle multiple tasks, communicate effectively with team members and management.
**Technical requirements**:
- 7+ years of working experience in Data Engineering, Data Warehousing, and Data Streaming
- Experience in US Healthcare domain
- Proficient with Python programing language and BI tools: Tableau and Power BI
- Experience in data transformation (ETL) and processing solutions
- Strong experience with SQL database
- Experience in database performance monitoring and tuning
- Familiarity working with cloud platform AWS
Additional Information
- Working in one of the Best Places to Work in Vietnam, Top 10 ITC Company in Vietnam
- Flexible working model: Flexible time & Hybrid working from Ho Chi Minh or Da Nang city or working remotely from any location in Vietnam
- Attractive Salary & Benefits, full salary in probation, social insurance on full gross salary
- Performance appraisal twice a year, 13th-month salary and performance bonus
- Premium healthcare insurance for you and your loved ones
- Working 5 days/week, from Monday to Friday
- 18+ paid leave days/year
- Diverse careers opportunities with Software Services, Software Product Development
- Working and growing in a values driven, international working environment and standard Agile culture with passionate and talented teams
- Onsite opportunities: short-term and long-term assignments in U.S
- Various training on hot-trend technologies, best practices and soft skills
- Company trip, big annual year-end party every year, team building, etc.
- Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming
- Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,
- Free in-house entertainment facilities (football, ping pong, gym ), coffee, and snacks (instant noodles, cookies, candies )
And much more, join us and let yourself explore other fantastic things!