38 Data Insights Analyst jobs in Vietnam
Junior Business Analyst - Data Driven Insights
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in gathering and documenting business requirements for new projects and system enhancements.
- Perform data analysis to identify trends, patterns, and insights that support business decision-making.
- Develop and maintain reports and dashboards using data visualization tools.
- Support the testing and validation of new software functionalities and business processes.
- Collaborate with cross-functional teams to understand business needs and challenges.
- Document business processes, workflows, and system specifications.
- Assist in preparing presentations and communicating findings to stakeholders.
- Help identify opportunities for process improvement and efficiency gains.
- Contribute to data quality checks and ensure data integrity.
- Learn and apply business analysis methodologies and tools.
Qualifications:
- Bachelor's degree in Business Administration, Economics, Finance, Information Systems, Computer Science, or a related field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Proficiency in Microsoft Excel for data analysis and reporting.
- Familiarity with database concepts and SQL is a plus.
- Excellent written and verbal communication skills.
- Ability to work collaboratively in a team environment.
- Proactive and eager to learn new skills and technologies.
- Understanding of business processes and principles.
- Internship or project experience in data analysis or business analysis is advantageous.
- Strong organizational skills and ability to manage multiple tasks.
Senior Sports Performance Analyst - Data Driven Insights
Posted today
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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.
- 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.
Senior Business Intelligence - Business
Posted today
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Job Description
- Decode business logic to define and evaluate key metrics, then build tracking and reporting frameworks that drive growth and business efficiency.
- Curious and keep eyes open for moving things or abnormalities in business trends, to investigate root causes of changes, and regularly communicate the state of the business to stakeholders.
- Actively identify new revenue-maximizing opportunities through deep-dive analysis.
- Support various business functions to build, maintain, and ensure the consistency of management dashboards and underlying data.
- Being proactive to improve business efficiency across all processes.
**Requirements**:
- 2+ years’ experience in a Business Intelligence or Data Analytics role with proven business impact.
- Guru in Excel Pivot Table, SQL is a must.
- Capable of leading conversations in cross-functional teams to identify problems, collect requirements, and propose steps to resolve issues - both on a macro-level and a micro-level
- Quick learner with a can-do attitude.
- Build easily digestible dashboards/visualizations for business stakeholders
- Excellent written and verbal communication skills to interact with all levels of business stakeholders.
- Fundamental knowledge of statistical programming language (Python, R) to manipulate and draw insights from large data sets.
- Knowledge and experience in ETL processing or working with data engineers is a plus.
Business Intelligence , Operations
Posted today
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- Evaluate and define business metrics, democratize data by building and socializing decision tools (dashboard, reports)- Work closely with business stakeholders (Order Management Team, Operation innovation, Customer Experiences etc) to conduct analysis that leads to actionable insights to grow the business and strengthen Operation performance.- Lead the effort to communicate state of the business to stakeholders regularly with the purpose of enabling Shopee Vietnam team understand reasons behind the trends and provide insights to drive strategic decisions- Support various business functions with the development and maintenance of various management reports**Requirements**:
- At least 2 years of experience in Business Intelligence or Data Analytics role with proven business impact- Strong analytical thinking and ability to learn quickly with can do attitude- Excellence written and verbal communication skills in English and Vietnamese- Experience working with cross-functional teams to gather requirements and define the right metrics to describe the state of the business - both on a macro-level and a micro-level- Hard-skills for Data Analytics: Strong experience in SQL- Programming language : Python/R- Advanced Excel/Google sheet skills with knowledge in Power Query, Power Pivots
Business Intelligence Analyst
Posted today
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Job Description
At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.
**Responsibilities**:
- ** Analytics 50%**:
- Insights: modeling & produce actionable data;
- Descriptive stats: Measure operational efficiency & cost metrics and track SLAs adherence.
- **
Process & Systems 30%**:
- Improve workflow;
- Suggest and recommend changes in existing system and operating processes to improve productivity and stability of the service infrastructure;
- Reduce manual work
- Prepare for scaling
- **
Informational 20%**:
- Source of information for other teams. Answering questions like “Is there a fast way to get data about xx?”
- Query maintenance;
- IT support.
**Requirements**:
- ** Experience: 1-2 years working as a data analytics professional;**:
- ** Technical skills**:
- Proficiency in SQL, knowledge in tuning, optimize query
- Data Visualization such as Looker, Metabase, Tableau
- Python skills are essential for this role
- Familiarity with cloud data tools is a plus.
- **
Education** : Bachelor degree in Computer Science, Information Systems
**Working address**: Ninja Van Vietnam Office, 307/21 Nguyen Van Troi, Tan Binh district, Ho Chi Minh city.
**Salary and benefits**:
Competitive income compared to the market
"Tet" bonus, Performance review from 1 - 4 months
Paid social insurance based on full salary
12 days annual leave, 5 days sick leave (with full salary)
High-class AON Health Insurance for manager level.
Year End Party, annual Townhall Ceremony
Attractive team-building activities, regular internal activities
Provide laptop for employees
**Training and developing**:
Participate in internal training courses: online/offline
Opportunities to promote to higher positions: Senior, Team Leader, Manager etc.
**Work environment & colleagues**:
Senior leaders are open-minded, respectful and ready to facilitate personal growth
Young and dynamic working environment
Scope of work is large, the company has more than 6000 employees, the company has operations spreading to 63 provinces/cities throughout the country.
Executive, Business Intelligence
Posted today
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**Job Summary**
Transform data into market information into actionable insights.
**General Responsibilities**
Business Intelligence:
- Develop a data, analytics, and reporting framework to provide business insights, collaborating closely with cross-functional stakeholders to understand business needs and priorities.
Data Warehouse Management:
- Design, develop, and maintain data warehouse or data lake infrastructure to ensure efficient data storage, access, and retrieval.
- Implement data cleansing, transformation, and integration processes to ensure data quality and consistency.
- Work with IT teams to ensure the smooth operation and scalability of data storage solutions.
Dashboard & Reports:
- Develop and maintain interactive dashboards and reports using Power BI to visualize key performance indicators (KPIs) and business metrics.
- Ensure dashboards and reports are user-friendly, visualized, and effectively communicate data insights.
**Functional Skills and Knowledge**
- You have excellent customer service orientation, communication, change management, consulting, and interpersonal skills.
- You must be proficient in SQL and Power BI reporting tools, Power Automate and other analytics platforms.
- Strong attention to detail and analytical mind: To extract insight from data, you need to practice concentrating on being able to dig through many data at the same time.
- Logic thinking and ask the difficult question: think about why these numbers are there, what it means, how it works, what are the limitations of the dataset and what if it is suitable for our business.
- Good organizational skills: good data management can organize everything scientifically.
- To be honest and transparent: Always provide reliable insight and accurate knowledge about the market information.
- Demonstrate fluency in English (both written 6and spoken
- You have proven minimum 3-5 years in Business Intelligence, Data Analytics, or related role.
- Minimum 2 years of experience working in the position of developing advanced Power BI Dashboard (DAX Measure).
**Education**
- Bachelor’s degree in business, Information Technology, Data Science, or related field from a reputable university (local/overseas).
**Why It’s Great to Work at DKSH**
At DKSH, we are driven by a purpose that goes beyond the ordinary: enriching people's lives. Through the products and services, we provide, DKSH positively impacts millions of lives everyday. Join our team where entrepreneurship meets flexible work arrangements. Take the leap and start a journey where you can grow and make a difference!
Remote Lead Data Scientist - Mining Operations
Posted today
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Job Description
Key Responsibilities:
- Lead the design, development, and deployment of advanced analytical models and machine learning solutions for mining operations.
- Identify key business problems and opportunities where data science can drive significant value.
- Collect, clean, and preprocess large, complex datasets from various mining sources.
- Develop and implement predictive models for equipment failure, production output, and safety incidents.
- Optimize operational processes, such as resource allocation, fleet management, and scheduling, using data-driven insights.
- Develop and maintain data pipelines and data infrastructure.
- Collaborate with cross-functional teams, including operations, engineering, and IT, to implement and integrate data science solutions.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Communicate complex analytical findings and recommendations clearly to stakeholders at all levels.
- Stay abreast of the latest advancements in data science, machine learning, and AI, and evaluate their applicability to mining operations.
- Develop dashboards and reports to visualize key performance indicators and insights.
Qualifications:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Operations Research, or a related quantitative field.
- Minimum of 8 years of experience in data science, with at least 3 years in a leadership or lead role.
- Proven experience in the mining industry or heavy industrial operations.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Strong understanding of data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to lead projects and mentor team members.
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Remote Lead Data Scientist - Mining Analytics
Posted 1 day ago
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Job Description
Responsibilities:
- Lead the development and implementation of data science strategies for mining operations.
- Build and mentor a team of data scientists and analysts.
- Design and execute advanced analytical models for predicting equipment failure, optimizing resource allocation, and improving safety.
- Collaborate with domain experts to translate business needs into data science solutions.
- Develop and deploy machine learning models into production environments.
- Communicate complex technical findings to non-technical stakeholders effectively.
- Stay current with the latest advancements in data science and machine learning.
Qualifications:
- PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a focus on applied machine learning and statistical modeling.
- Proven experience leading data science teams and projects.
- Strong expertise in Python or R, SQL, and machine learning frameworks.
- Experience in the mining industry or a related resource sector is highly advantageous.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Must be able to work effectively and independently in a remote environment.
Senior Business Intelligence Analyst
Posted today
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Job Description
At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.
**Business Intelligence Analysts** use data to catch the pulse of current market trends to better assist companies with profits. Analysts work with data from multiple locations. Data can be provided from a company database, be mined from web crawling software, or by checking in on another company's data. The collected data is then utilized to create a picture of the current market and the best path for a company to take in the future.
**Responsibility**:
- Identify development needs in order to improve and streamline operations
- Analyse data for market trends and patterns
- Generate weekly and monthly reports with market trends past and present
**Requirement**:
- Bachelor Degree in Business, Management, Accounting, Economics, Statistics, Information Science or a related field
- 2-4 years of experience in a quantitative role
- Communication and Collaboration skills
- Critical thinking and Problem solving
- Data analysis tools: SQL, Python
- Data Modelling
- Business Mindset
**Salary and benefits**:
- Competitive income compared to the market
- "Tet" bonus, Performance review from 1 - 4 months
- Paid social insurance based on full salary
- 12 days annual leave, 5 days sick leave (with full salary)
- High-class AON Health Insurance for manager level.
- Year End Party, annual Townhall Ceremony
- Annual company trip
- Attractive team-building activities, regular internal activities
- Provide laptop for employees
**Training and developing**:
- Participate in internal training courses: online/offline
- Opportunities to promote to higher positions: Senior, Team Leader, Manager etc.
**Work environment & colleagues**:
- Senior leaders are open-minded, respectful and ready to facilitate personal growth
- Young and dynamic working environment
- Scope of work is large, the company has more than 4000 employees, the company has operations spreading to 63 provinces/cities thoughout the country.
Business Intelligence Specialist - Nutrition
Posted today
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Job Description
- Responsible for all stages of the business intelligence cycle: understanding business objective, collecting business requirements, and translating them into data requirements, designing and developing reports/dashboards (code and visualization), scheduling and deployment of business intelligence components in accordance with supplied standards and best practices, and completing accurate and timely documentation.
- Acquisition and transformation of raw data into meaningful and useful information for business and analysis purposes.
- Supporting build, deploy and manage centralized DWH and BI tools.
- Supporting data extraction, transformation, and loading (ETL) into DWH from various sources.
- Collaborates with business and IT departments to understand system data and its use, data analysis and validation, and provides support around the data and how it is integrated.
**JOB REQUIREMENT**:
- At least 3-5 years relevant experience analyzing, visualizing, and performing deep drive ad-hoc analysis of data/data analysis/data mining/data science
- Working experience in FMCG/nutrition/ pharma/consulting industry is an advantage
- Bachelor's degree
- Experience in business intelligence, data analytics and visualization in both of developing, managing, and operating DWH, BI tools
- Experience in data extraction, aggregation, transformation, modeling of data
- Familiar with data manipulation/data mining/multi-dimensional data modelling
- Competent in BI technologies (SQL, SSIS, Talend, Python, R, AAS, SSAS, Power BI and Qlikview)
- Familiar with data design/data mining/dimensional data modelling
- Experience in develop and managing DWH and BI tools, DEVOPS, CICD in Big data/Enterprise projects
- Logical thinking
- Strong business acumen
- Planning, organizing and alignment and change management
- Analytical, problem solving & decision-making skills
- Ability to balance multiple tasks simultaneously and quickly switch between priorities/tasks
- Ability to interact with all levels of staff and adapt to a rapidly changing work environment
- Project management
- Good command of English
- Advanced skills in MS Office, MS Windows