64 Data Insights jobs in Vietnam

Our client, a prestigious sports organization, is looking for a highly skilled and dedicated Senior Sports Performance Analyst to join their completely remote team. This role is vital in leveraging advanced data analytics to enhance athletic performance, optimize training strategies, and provide critical insights for coaching staff and athletes. You will be responsible for collecting, processing, and analyzing vast amounts of data from various sources, including athlete tracking systems, physiological monitors, and performance metrics. Your expertise in statistical modeling, data visualization, and sports science will be crucial in identifying trends, evaluating training effectiveness, and informing tactical decisions. This is an exceptional opportunity for a data-driven individual passionate about sports and technology to make a significant impact.

Key Responsibilities:

• Collect, clean, and organize performance data from various sources (GPS, video analysis, biometric sensors, etc.).
• Develop and implement advanced statistical models and algorithms to analyze athlete performance.
• Identify key performance indicators (KPIs) and create dashboards and reports to visualize data insights.
• Provide actionable recommendations to coaching staff and athletes based on data analysis.
• Collaborate with coaches and medical staff to tailor training programs and injury prevention strategies.
• Conduct in-depth analysis of opponents and game strategies.
• Stay abreast of the latest advancements in sports science, data analytics, and performance monitoring technologies.
• Maintain and manage the performance analysis database and software.
• Present findings and insights clearly and effectively to diverse stakeholders.
• Contribute to the development of a data-driven performance culture within the organization.

Qualifications:

• Master's or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience as a Performance Analyst or Data Scientist in a professional sports setting.
• Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with statistical modeling, machine learning, and data visualization techniques.
• Familiarity with sports performance analysis software (e.g., Hudl Sportscode, Dartfish, Catapult).
• Strong understanding of biomechanics, physiology, and training principles relevant to sports.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex data insights effectively to both technical and non-technical audiences.
• Proven ability to work independently and manage projects in a remote environment.
• Passion for sports and a commitment to enhancing athlete development.

If you are a results-oriented professional with a passion for sports and data, this role offers a unique opportunity to contribute to elite athletic performance.

No Relocation Assistance Offered
Job Number #168531 - Ben Cat town, Binh Duong, Viet Nam
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Data Analytics Engineer at My Phuoc Plant is responsible for using analytical tools to uncover meaningful insights, trends, and patterns that directly contribute to informed business decisions.
+ Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for manufacturing data from various systems (MES, Historian, PLCs, SAP, IoT, Google drive, Snowflake) into data lakes/warehouses/analytical platforms.
+ Develop and optimize data models within platforms like Snowflake, Databricks, or Google BigQuery to support analytics, reporting, and advanced analytics. Ensure data integrity, performance, and scalability for manufacturing data.
+ Implement automated data quality checks, validation, and monitoring processes in data pipelines for accurate, complete, and consistent manufacturing data. Embed data governance and security best practices.
+ Collaborate with Data Scientists and Analysts to operationalize analytical and machine learning models by building feature engineering pipelines, deploying models, and monitoring performance/data drift.
+ Evaluate, select, implement, and manage underlying data infrastructure and tooling (e.g., Airflow, streaming platforms, cloud services, computation engines) for efficient manufacturing data processing and analytics.
+ Identify and resolve data-related issues, pipeline failures, and performance bottlenecks. Optimize data processing and queries for efficiency, reduced latency, and cost management.
+ Serve as a technical expert, collaborating with OT, IT, production, engineering, and data consumption teams to understand data requirements, provide solutions, and ensure data availability/reliability.
+ Responsible for relevant EHS/Quality/FP&R performance expectations as defined in each standard's RACI matrix.
**Requirements**
+ Bachelor's degree in Data Analytics, Computer Science, Data Science, Information Technology, or a related discipline.
+ Minimum of 2 years of hands-on experience with business intelligence tools for data analysis and processing, such as Data Studio, Tableau, Domo, and Sigma.
+ Proficiency in data fields like SQL, Python, or R, and cloud BI tools such as Domo.
+ Interpersonal skills of communication, collaboration and problem solving
+ A strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management, is vital. Understanding their interaction within the supply chain is essential for data analysis and process optimization.
+ Proactively seeks and adapts to new technologies with an open mindset.
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-On-site

Overview:
RMIT Vietnam is looking for hourly Data Analytics Teacher to teach courses within Business stream at our Saigon South campus. Please click hyperlinks for full detail on courses:
- Foundation Studies: Business stream Data Analytics

About RMIT Vietnam

RMIT is a global university of technology, design, and enterprise. We are global in footprint and even more importantly, we are global in mindset. We are committed to making a positive impact wherever we go. The wider our reach, the deeper our connections, the greater our impact.

RMIT University Vietnam (RMIT Vietnam) is a campus of RMIT University with 700 staff and 7,000 students, in three locations, and recently awarded one of the Best Companies to work for in Asia 2020. From a media perspective RMIT Vietnam enjoys a 40% share of voice in the sector. It brings a world-class education and globalised study environment to the heart of Asia, offering programs in business, technology, communication, design, fashion, and English language. It boasts an impressive range of extra-curricular activities that encourage students to innovate and network globally.

Degrees are awarded by RMIT in Australia and taught in English, enabling Vietnamese students (and visiting international students) the opportunity to receive an international education without having to leave home.

The Role

More information about the program can be found

here


Foundation Studies (FS) Teachers will be responsible for the delivery of the FS program including assessment, academic progress of students and contributing to the development of the FS curriculum and the FS student experience.

Your Responsibilities

Learning and Teaching:

- Deliver teaching programs in a professional and effective manner.
- Support the preparation of FS curriculum.
- Assess the learning outcomes of students in a range of contemporary FS settings. Participate in moderation and validation activities associated with marking and assessment.
- Record marks and grades in accordance with RMIT Training processes.
- Identify 'students at risk' and assist in identifying appropriate strategies to improve student learning.
- Provide feedback to students on their progress in the course.
- Demonstrate best practice delivery modes and appropriate student assessment strategies
- Contribute to orientation activities.
- Collaborate with stream colleagues on curriculum and assessment matters.
- Contribute to course review discussion.

Compliance:
Professional Development:

- Maintain, apply, and share up to date knowledge of professional area and pedagogy associated with the discipline.
- Participate in the professional development program.

Professional Duties:

- Prepare, plan, and deliver lessons.
- Engage in discussions with colleagues via meetings and workshops to support FS delivery.
- Liaise with students out of class time to provide academic support.
- Collaborate with ARG, Student Services, the Student Wellbeing Manager and Student Experience Specialist to ensure the FS student experience is at a high standard.
- Work under the guidance and direction of the Team Leader and Program Manager

Mandatory Qualifications, Skills, and Experience
- A recognized master’s degree relevant to the course being taught
- A formal qualification in the delivery of education OR minimum 3 years of relevant teaching experience, including breadth of experience in delivering to students from non-English speaking backgrounds.
- Strong and demonstrated record of accomplishment and experience in teaching which includes lesson plan development, assessment, and moderation.
- Strong interpersonal and communication skills
- Capacity to identify learning problems in students, propose and implement effective strategies
- Demonstrated ability to contribute effectively as a constructive and proactive member of a team
- Demonstrated skills in the use of relevant information and communication technologies
- Excellent team player
- Proven collegiality and the ability to share ideas
- Knowledge of current pedagogical practices
- Culturally agile

Desirable
- Experience teaching senior secondary school / pre-tertiary programs

Culture

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices.

**Benefits**:

- Competitive hourly rates per teaching hour.
- Ongoing professional development and mentoring.
- World class teaching facilities and resources.
- Free access to on-site international medical centre and private health insurance.
- On-site gym and recreational facilities, including tennis courts and sports fields.
- On-site world class Library and free

Overview:
RMIT Vietnam is looking for hourly Data Analytics Teacher to teach courses within Business stream at our Saigon South campus. Please click hyperlinks for full detail on courses:
- Foundation Studies: Business stream Data Analytics

About RMIT Vietnam

RMIT is a global university of technology, design, and enterprise. We are global in footprint and even more importantly, we are global in mindset. We are committed to making a positive impact wherever we go. The wider our reach, the deeper our connections, the greater our impact.

RMIT University Vietnam (RMIT Vietnam) is a campus of RMIT University with 700 staff and 7,000 students, in three locations, and recently awarded one of the Best Companies to work for in Asia 2020. From a media perspective RMIT Vietnam enjoys a 40% share of voice in the sector. It brings a world-class education and globalised study environment to the heart of Asia, offering programs in business, technology, communication, design, fashion, and English language. It boasts an impressive range of extra-curricular activities that encourage students to innovate and network globally.

Degrees are awarded by RMIT in Australia and taught in English, enabling Vietnamese students (and visiting international students) the opportunity to receive an international education without having to leave home.

The Role

More information about the program can be found

here


Foundation Studies (FS) Teachers will be responsible for the delivery of the FS program including assessment, academic progress of students and contributing to the development of the FS curriculum and the FS student experience.

Your Responsibilities

Learning and Teaching:

- Deliver teaching programs in a professional and effective manner.
- Support the preparation of FS curriculum.
- Assess the learning outcomes of students in a range of contemporary FS settings. Participate in moderation and validation activities associated with marking and assessment.
- Record marks and grades in accordance with RMIT Training processes.
- Identify 'students at risk' and assist in identifying appropriate strategies to improve student learning.
- Provide feedback to students on their progress in the course.
- Demonstrate best practice delivery modes and appropriate student assessment strategies
- Contribute to orientation activities.
- Collaborate with stream colleagues on curriculum and assessment matters.
- Contribute to course review discussion.

Compliance:
Professional Development:

- Maintain, apply, and share up to date knowledge of professional area and pedagogy associated with the discipline.
- Participate in the professional development program.

Professional Duties:

- Prepare, plan, and deliver lessons.
- Engage in discussions with colleagues via meetings and workshops to support FS delivery.
- Liaise with students out of class time to provide academic support.
- Collaborate with ARG, Student Services, the Student Wellbeing Manager and Student Experience Specialist to ensure the FS student experience is at a high standard.
- Work under the guidance and direction of the Team Leader and Program Manager

Mandatory Qualifications, Skills, and Experience
- A recognized master’s degree relevant to the course being taught
- A formal qualification in the delivery of education OR minimum 3 years of relevant teaching experience, including breadth of experience in delivering to students from non-English speaking backgrounds.
- Strong and demonstrated record of accomplishment and experience in teaching which includes lesson plan development, assessment, and moderation.
- Strong interpersonal and communication skills
- Capacity to identify learning problems in students, propose and implement effective strategies
- Demonstrated ability to contribute effectively as a constructive and proactive member of a team
- Demonstrated skills in the use of relevant information and communication technologies
- Excellent team player
- Proven collegiality and the ability to share ideas
- Knowledge of current pedagogical practices
- Culturally agile

Desirable
- Experience teaching senior secondary school / pre-tertiary programs

Culture

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices.

**Benefits**:

- Competitive hourly rates per teaching hour.
- Ongoing professional development and mentoring.
- World class teaching facilities and resources.
- Free access to on-site international medical centre and private health insurance.
- On-site gym and recreational facilities, including tennis courts and sports fields.
- On-site world class Library and free

**Mô tả công việc**:
(Mức lương: Thỏa thuận)
- About the Role:
We are seeking a motivated and curious Data Intern to join our growing Data Analytics team. In this role, you will gain valuable experience working on real-world data analysis projects and contribute to data-driven decision making within the company.

Responsibilities:

- Assist senior data analysts with data collection, cleaning, and transformation using SQL.
- Develop and maintain data reports and dashboards using Power BI.
- Conduct basic data analysis tasks and create visualizations to communicate insights to stakeholders.
- Participate in data quality checks and ensure data accuracy.
- Learn and stay updated on best practices in data analysis.
- May assist with other data-related tasks as assigned

**Chức vụ**: Thực Tập Sinh

**Hình thức làm việc**: Toàn thời gian

**Quyền lợi được hưởng**:

- Having chances to get attractive company bonus every month/year
- Company trip once a year + Joining party
- Salary and position is reviewed 1 time a year
- Bonus by individual ability and company’s performance.
- Social insurance, health insurance, unemployment insurance and other benefits
- Dynamic and sociable working environment.

**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề

**Yêu cầu công việc**:
Yêu Cầu Công Việc
- Currently enrolled in a bachelor's degree program in Computer Science, Mathematics, Quantitative field, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, including data manipulation and visualization capabilities.
- Working knowledge of SQL for querying relational databases.
- Familiarity with data visualization tools like Power BI is a plus.
- Understanding of DAX (Data Analysis Expressions) for enhancing Power BI reports (a plus).
- Basic understanding of Python programming language (a plus).
- Ability to work independently and as part of a team.
- Strong attention to detail and accuracy.
- Eagerness to learn and explore new technologies.

**Yêu cầu giới tính**: Nam/Nữ

**Ngành nghề**: CNTT - Phần Mềm,Data Analytics,SQL

Trung cấp - Nghề
Không yêu cầu

Our client is excited to launch its Graduate Trainee program, specifically seeking aspiring data professionals to join their analytics team. This is a fully remote, immersive program designed to provide comprehensive training and hands-on experience in data analytics. You will work on real-world projects, developing skills in data collection, cleaning, analysis, and visualization. The ideal candidate will be a recent graduate with a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A strong foundation in statistical concepts and analytical thinking is essential. You should have a passion for data and a desire to learn advanced analytical techniques and tools. Responsibilities include assisting senior analysts with data extraction and manipulation, performing exploratory data analysis, contributing to data-driven insights, and creating reports and dashboards. Familiarity with programming languages like Python or R, and experience with data visualization tools (e.g., Tableau, Power BI), would be advantageous but not mandatory. This program offers an excellent opportunity to build a career in data analytics within a supportive and innovative remote work environment. You will receive mentorship from experienced professionals and gain exposure to various business functions. If you are a motivated and curious individual eager to kickstart your career in a dynamic field, apply now.

Our client is looking for a highly analytical and innovative Research Scientist to join their growing data analytics team. This role is situated in Can Tho, Can Tho, VN , and involves deep dives into complex datasets to extract actionable insights and develop predictive models. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, coupled with a passion for uncovering patterns and driving data-informed decisions. You will work on diverse projects, contributing to research and development efforts across various domains.

Key Responsibilities:

• Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and correlations.
• Develop and implement statistical models, machine learning algorithms, and data mining techniques.
• Design and execute experiments to test hypotheses and validate findings.
• Create compelling data visualizations and dashboards to communicate insights effectively to both technical and non-technical audiences.
• Collaborate with stakeholders to understand business needs and translate them into analytical requirements.
• Develop predictive models to forecast future outcomes and support strategic planning.
• Stay current with the latest advancements in data analytics, machine learning, and statistical methods.
• Document research methodologies, findings, and recommendations.
• Contribute to the development of the company's data science capabilities and best practices.
• Mentor junior analysts and contribute to a culture of data-driven decision-making.

Qualifications:

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, statistical modeling, or machine learning.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with database management systems and SQL.
• Strong knowledge of statistical concepts and machine learning algorithms.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively in a collaborative, team-oriented environment.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Must be able to work on-site in Can Tho, Can Tho, VN .

Be part of a team that transforms data into knowledge and innovation!

Our client is offering a fantastic opportunity for motivated and analytical graduates to join their program as Graduate Trainees in Data Analytics. This role is based in the vibrant city of Ho Chi Minh City, Ho Chi Minh, VN . As a Graduate Trainee, you will gain hands-on experience in data analysis, interpretation, and reporting, working alongside experienced professionals. You will be involved in various stages of data projects, from data collection and cleaning to developing insights and presenting findings. This is an excellent entry-level position for individuals passionate about leveraging data to drive business decisions.

Key Responsibilities:

• Assist in collecting, cleaning, and preparing data from various sources.
• Perform data analysis using statistical methods and tools.
• Develop reports and visualizations to communicate data insights effectively.
• Support the data science team in building and testing predictive models.
• Contribute to the development of data dashboards and business intelligence solutions.
• Learn and apply various data analysis techniques and software.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Maintain data integrity and accuracy.
• Participate in team meetings and contribute to project discussions.
• Seek opportunities for professional development and continuous learning in data analytics.

To be considered for this role, you should have recently completed a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A strong understanding of statistical concepts and proficiency in at least one programming language (e.g., Python, R) is required. Familiarity with data visualization tools (e.g., Tableau, Power BI) and database querying (SQL) is a plus. Excellent analytical, problem-solving, and communication skills are essential. Eagerness to learn and a proactive attitude are highly valued. This is an on-site role, requiring your presence in our Ho Chi Minh City, Ho Chi Minh, VN office.

Our client is looking for enthusiastic and bright recent graduates to join their company as Graduate Trainees in Data Analytics. This is an on-site position, offering a hands-on learning experience in a dynamic professional environment. You will be an integral part of the analytics team, contributing to various projects focused on extracting insights from large datasets to drive business decisions. This program is designed to provide comprehensive training and mentorship, enabling you to build a strong foundation in data analytics. As a Graduate Trainee, you will gain exposure to a wide range of analytical tools and techniques. Your responsibilities will include data collection, cleaning, and pre-processing; performing statistical analysis; developing reports and visualizations; and assisting senior analysts with complex data modeling tasks. You will learn to use industry-standard software such as SQL, Python (with libraries like Pandas, NumPy, Scikit-learn), and data visualization tools like Tableau or Power BI. The program emphasizes practical application, allowing you to contribute meaningfully while developing your skills. We seek candidates who have recently completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A strong academic record, excellent analytical and problem-solving abilities, and a keen interest in data are essential. Prior internship experience in a related field is a plus, but not mandatory. Candidates should possess good communication skills and a proactive attitude towards learning and taking on new challenges. Familiarity with programming concepts is beneficial. This is an excellent opportunity for graduates looking to launch their career in data analytics. You will work closely with experienced professionals, gaining invaluable insights into the practical application of data science in a business context. The program provides a structured pathway for professional development and potential long-term employment within the company. Responsibilities:

• Assist in collecting and cleaning data from various sources.
• Perform exploratory data analysis and identify trends.
• Create data visualizations and dashboards to communicate findings.
• Support senior analysts in developing predictive models.
• Learn and apply statistical methods and machine learning techniques.
• Collaborate with team members on data-driven projects.
• Document analytical processes and methodologies.
• Contribute to the continuous improvement of data analytics practices.
• Prepare reports and presentations on analysis results.
• Participate in team meetings and training sessions.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in a quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in data manipulation and analysis tools (e.g., SQL, Excel).
• Familiarity with programming languages like Python or R is a plus.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is beneficial.
• Excellent communication and teamwork skills.
• Enthusiasm for learning and a passion for data.