8 Master Data jobs in Vietnam

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s animal nutrition and health business, where we improve lives through better nutrition. Our team researches, innovates and creates solutions that deliver healthy results for our customers.
Job Purpose and Impact

The Master Data Analyst will be responsible to execute on our master data setup and maintenance. We seek a skilled analyst who will partner with all business functions and the corporate global information technology organization to lead and execute the business data requirements. Key Accountabilities

Support data and process improvement efforts, including the identification, re-design, and implementation of opportunities identified utilizing data from audits and metrics.
Monitor master data overall health of the data and execute cleansing efforts.
Partner with functional leaders to ensure compliance with data processes and procedures.
Handle basic issues and problems under direct supervision, while escalating more complex issues to appropriate staff.
Other duties as assigned Qualifications
Minimum Qualifications
Bachelor's degree in a related field or equivalent experience
Previous experience leading, organizing, and presenting within groups
Work experience across multiple lines of business and/or within the information technology function
Experience with data processes for enterprise resource planning (ERP) systems
Two years in a relevant business experience

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s animal nutrition and health business, where we improve lives through better nutrition. Our team researches, innovates and creates solutions that deliver healthy results for our customers.
Job Purpose and Impact

The Master Data Supervisor for ANH TVN will lead various master data activities within the assigned region. In this role, you will lead the execution of master data management processes to ensure service level are met while adhering to relevant data standards. You will be accountable for the service delivery of master data creation, maintenance and deactivation of materials, vendors, customers and finance master data objects. You will also be accountable for the master data project portfolio management for the region. Key Accountabilities

Collaborate with the enterprise data policies team for the assigned data domains to ensure documentation of internal processes, procedures and tools are accurately maintained.
Provide general leadership and substantial data management and business intelligence knowledge to ensure data is treated as a valued corporate asset.
Build and maintain relationships with key business process outsourcers and ensure service levels meet business needs and expectations.
Drive continuous improvements in the master data management operations environment with an end to end processes perspective, including people, process and technology solution.
Assist with monitoring, compliance and execution as it relates to master data set up and operations activities.
Lead the design and improvement of processes for executing complex, cross department data maintenance requests.
Provide data management support and partnership for projects that involve master data operational involvement, including process migration, project deployments, acquisitions, joint ventures or any project that may represent major changes to the existing processes.
Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.
Other duties as assigned Qualifications

Bachelor's degree in a related field or equivalent experience
Confirmed experience of internal controls & project management expertise
Above five years experience background working in finance, supply chain, and sourcing
Minimum two years of supervisor. Be able to provide enhancement in actual work of the direct report and able to manage a fully remote team based, properly
System-oriented mindset. Confident to change/ influence people with challenge/complexity. Open mindset & have aspiration for Continuous Improvement
Proven record of working with data management in ERP (Enterprise Resources Planning) system i.e. SAP, Oracle before, having strong technical concept in data management
Other minimum qualifications may apply

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

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

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

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 GOVERNANCE STEWARD
Ho Chi Minh City, Vietnam
- req584
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We are seeking a talented and motivated individual to join our rapidly growing team.

From Denmark to China, Vietnam to Mexico, we employ over 800 talented and dedicated people. Established in 1900, LEMAN is a forward-thinking, value-driven, and people-centric organization. We endeavor to lead a culture of quality and collaboration, where everyone feels empowered to be their best.
Every day, we help companies and people all over the world by delivering high-quality logistics and transport solutions. We always strive to uphold our values in our approach to customers, colleagues, our surroundings, and the environment.
We provide supply chain and transport solutions, and we offer our services in 150+ countries through our own offices and a network of close partners.
Our approach is personalized customer care. We don't create standard products but focus on individual needs and solutions.
With more than 800 dedicated LEMAN colleagues worldwide, we are large enough to deliver high-quality global supply chain solutions while remaining small enough to care about each and every one of our customers.

Responsibilities & what we are looking for

Job Summary
We are seeking a highly motivated and results-oriented Data Governance Steward to join our team. You will be responsible for ensuring the accuracy, completeness, consistency, and reliability of customer data in our "Customer Base" software, according to our data governance policies and procedures. This role is critical to maintaining the high quality of our data and mitigating risks.

**Responsibilities**:

- Create and maintain new customer records in "Customer Base" according to established data governance procedures, based on requests from the business.
- Identify and eliminate duplicate customer records within "Customer Base".
- Perform data cleaning and maintenance tasks to ensure data quality meets pre-defined standards set by the Data Governance Manager. This may include tasks like verifying data accuracy, ensuring customer records are active and non-duplicate, and following established data hierarchies.
- Collaborate with the Data Governance Manager, Sales, and operational staff in the Road and Air & Sea divisions on data governance issues.
- Assist with data analysis to identify data quality issues.

**Qualifications**:

- 1-2 years of experience with data entry, data cleaning, and data management.
- Understanding of data governance principles and the importance of data quality.
- Excellent attention to detail and accuracy.
- Proficiency in database software (like "Customer Base") and Excel for data analysis.
- Excellent communication and collaboration skills.
- English on proficient written level

Who are We and Why We Need You
At LEMAN, we proudly aim to be a global leader in transport & logistics solutions, driven by a commitment to people, excellence, and personalized customer care.

Our Group Legal, Compliance & Insurance team plays a significant role in this by supporting the business with professional claims and insurance solutions, taking both legal and commercial perspectives into consideration to protect LEMAN Group and our customers’ interests. Recently, one of our highly valued colleague has chosen to pursue a new opportunity, why we are looking to bring in a new team member.

You will get
good colleagues and an informal tone as well as a positive and dynamic work environment.
an attractive overall salary package.
an exciting and open workplace characterized by freedom with responsibility and space to unleash your full potential.

What We Offer
**Flexibility**: We understand that life is unpredictable, which is why we offer flexible working arrangements, where possible, to help you achieve a healthy work-life balance. You'll have the freedom to structure your workday in a way that suits you best, whether that means working from home, adjusting your hours, or taking time off when you need it.
**Sabbatical**: Need a break from the daily grind? We offer sabbatical opportunities to take extended time off to recharge, explore your passions, and come back to work feeling refreshed and inspired.
**Investment in Professional Development**: We're committed to helping our people grow and reach their full potential.
**Global Travel Opportunities**: We're a global organization with offices around the world, which means that there are plenty of opportunities to travel and experience new cultures.
**Social and Company Events**: We believe that work should be enjoyable, which is why we organize regular social and company events to bring our people together.

Do you want to hear more of what it is like to work at LEMAN? Take a look for yourself here

Our Values

We're driven by our core values of Quality, Commitment and Respect. Join our dynamic team where we encourage authenticity, foster meaningful connections,