150 Big Data jobs in Vietnam
Senior Data Engineer - Big Data Analytics
94000 Can Tho , Can Tho
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a talented Senior Data Engineer to join their fully remote team. You will be instrumental in designing, building, and maintaining scalable data pipelines and infrastructure that support our advanced analytics and machine learning initiatives. This role requires a deep understanding of big data technologies, data warehousing, and ETL processes. You will work with large and complex datasets, ensuring data quality, integrity, and accessibility for data scientists and analysts. The ideal candidate has proven experience with distributed systems, cloud-based data platforms (e.g., Snowflake, Databricks), and big data processing frameworks (e.g., Spark, Hadoop). Proficiency in SQL and programming languages such as Python or Scala is essential. You will collaborate with cross-functional teams to understand data needs, design data models, and implement data solutions. Key responsibilities include optimizing data pipelines for performance and cost-efficiency, developing robust data validation and monitoring systems, and contributing to the overall data strategy. We are looking for a proactive problem-solver with a passion for data and a commitment to delivering high-quality data products. This remote position offers an excellent opportunity to work on challenging projects and make a significant impact on data-driven decision-making across the organization.
Key responsibilities:
Qualifications:
Key responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and manage data warehouses and data lakes.
- Optimize data infrastructure for performance and cost efficiency.
- Ensure data quality, integrity, and security.
- Collaborate with data scientists and analysts to support their data needs.
- Implement data governance and best practices.
- Monitor and troubleshoot data-related issues.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a similar role.
- Expertise in big data technologies (Spark, Hadoop, Kafka).
- Experience with cloud data platforms (Snowflake, Databricks, Redshift).
- Proficiency in SQL and programming languages (Python, Scala).
- Strong understanding of data modeling and database design.
- Excellent problem-solving and analytical skills.
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0
Lead Data Engineer - Big Data Platforms
70000 An Thanh
WhatJobs
Posted 2 days ago
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Job Description
Our client, a fast-growing technology firm, is seeking an experienced Lead Data Engineer to spearhead the development and optimization of our big data infrastructure. This is a fully remote position, allowing you to work from anywhere and contribute to a globally distributed team. You will be responsible for designing, building, and maintaining scalable and reliable data pipelines that support our data analytics and machine learning initiatives. The ideal candidate possesses a deep understanding of big data technologies, cloud platforms, and data warehousing solutions. We are looking for a visionary leader who can guide a team of talented engineers, drive innovation, and ensure the highest standards of data quality and accessibility. This role is pivotal in empowering our organization with robust data capabilities.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement robust, scalable, and efficient data pipelines using big data technologies (e.g., Spark, Hadoop, Kafka).
- Architect and manage data warehouses and data lakes on cloud platforms (AWS, Azure, GCP).
- Develop ETL/ELT processes for data ingestion, transformation, and loading from diverse sources.
- Optimize data storage and processing performance for large datasets.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Establish and enforce data governance policies, data quality standards, and security best practices.
- Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.
- Monitor and troubleshoot data infrastructure, ensuring high availability and performance.
- Evaluate and implement new technologies and tools to enhance data engineering capabilities.
- Contribute to the strategic roadmap for data architecture and platform development.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 7 years of experience in data engineering, with at least 2 years in a lead or senior role.
- Proven expertise in big data technologies such as Apache Spark, Hadoop ecosystem (HDFS, Hive, MapReduce), and Kafka.
- Extensive experience with cloud platforms (AWS, Azure, or GCP) and their data services.
- Strong proficiency in SQL and programming languages like Python, Scala, or Java.
- Experience designing and implementing data warehouses and data lakes.
- Solid understanding of ETL/ELT concepts and tools.
- Excellent knowledge of data modeling, database design, and data warehousing principles.
- Strong leadership, communication, and interpersonal skills, essential for remote team management.
- Ability to work independently and drive projects to completion in a remote setting.
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1
Data Analytics Engineer
Colgate-Palmolive
Posted 2 days ago
Job Viewed
Job Description
No Relocation Assistance Offered
Job Number # - 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
Job Number # - 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
This advertiser has chosen not to accept applicants from your region.
2
Graduate Trainee - Data Analytics
53000 Hoa Sơn
WhatJobs
Posted today
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Job Description
Our client, a forward-thinking technology firm, is offering an exciting Graduate Trainee opportunity in Data Analytics at their location in Quy Nhon, Binh Dinh, Vietnam . This program is designed for ambitious recent graduates eager to build a foundational career in the field of data analysis and interpretation. As a Graduate Trainee, you will gain hands-on experience working with large datasets, developing analytical models, and deriving actionable insights to support business decision-making. You will be mentored by experienced data scientists and analysts, participating in real-world projects across various business functions. Key responsibilities will include data cleaning and preparation, exploratory data analysis, assisting in the development of dashboards and reports, and supporting the implementation of data-driven strategies. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or Engineering, along with a passion for data and problem-solving. Familiarity with programming languages like Python or R, and basic knowledge of SQL, are highly advantageous. You should demonstrate excellent analytical skills, attention to detail, and a strong desire to learn and grow. This role offers a blend of on-site collaboration and remote work flexibility, providing a comprehensive learning experience. This is a unique chance to launch your career in a high-demand field, contributing to impactful projects and developing invaluable skills within a supportive and innovative environment. We are looking for enthusiastic individuals who are eager to contribute fresh perspectives and develop their technical expertise.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and maintenance of reports and dashboards.
- Aid in building and testing statistical and machine learning models.
- Collaborate with senior analysts and data scientists on project tasks.
- Learn and apply various data analysis tools and techniques.
- Contribute to data visualization efforts.
- Document analytical processes and findings.
- Participate in team meetings and training sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language (e.g., Python, R) is preferred.
- Basic knowledge of SQL is a plus.
- Excellent analytical thinking and problem-solving skills.
- Detail-oriented with a strong desire to learn.
- Good communication and teamwork skills.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Trainee - Data Analytics
55000 Hoa Sơn
WhatJobs
Posted today
Job Viewed
Job Description
Our client is offering an exceptional opportunity for bright and motivated graduates to join their dynamic team as Graduate Trainees in Da Nang, Da Nang, VN . This program is specifically designed for individuals looking to kick-start their careers in the exciting field of data analytics. You will gain hands-on experience, learn from industry experts, and contribute to meaningful projects that drive business insights. The program provides a structured learning environment, mentorship, and exposure to cutting-edge technologies and methodologies in data analysis.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and implementation of data models and algorithms.
- Generate reports and visualizations to communicate findings to stakeholders.
- Learn and apply statistical techniques and machine learning concepts.
- Collaborate with senior data analysts and engineers on ongoing projects.
- Participate in training sessions and workshops to enhance technical skills.
- Contribute to the documentation of data processes and findings.
- Assist in testing and validating data solutions.
- Develop a foundational understanding of business intelligence tools and techniques.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language such as Python or R is highly desirable.
- Familiarity with database concepts and SQL.
- Excellent attention to detail and commitment to data accuracy.
- Good communication and teamwork skills.
- Eagerness to learn and adapt to new technologies.
- A passion for data and its potential to drive business value.
- Basic understanding of statistical concepts.
- Ability to work effectively in a team-oriented environment.
This advertiser has chosen not to accept applicants from your region.
4
Graduate Trainee - Data Analytics
86000 My Tho, Tien Giang
WhatJobs
Posted today
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Job Description
Our client is excited to offer a Graduate Trainee position in Data Analytics, based in **My Tho, Tien Giang, VN**. This hybrid role provides an invaluable opportunity for recent graduates to gain hands-on experience and develop crucial skills in the field of data analysis. You will work closely with experienced data professionals, contributing to real-world projects and learning industry-standard tools and techniques. The program is designed to offer a blend of structured learning, mentorship, and practical application, with a combination of in-office collaboration and remote work flexibility. This is an ideal stepping stone for individuals with a strong analytical mindset and a desire to build a career in data science.
Program Highlights:
Program Highlights:
- Gain practical experience in data collection, cleaning, transformation, and visualization.
- Learn to use industry-leading data analytics tools and programming languages (e.g., SQL, Python/R, Tableau/Power BI).
- Assist in generating reports and dashboards to communicate data-driven insights.
- Support senior analysts in identifying trends, patterns, and anomalies in data.
- Participate in team meetings and contribute to project discussions.
- Receive mentorship from experienced data professionals.
- Develop problem-solving and critical thinking skills through hands-on project work.
- Understand the principles of data governance and best practices.
- Explore various aspects of data science, business intelligence, and analytics.
- Recent graduate (within the last 1-2 years) with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving abilities.
- Familiarity with basic statistical concepts.
- Proficiency in at least one programming language (e.g., Python, R) is a strong asset.
- Basic knowledge of SQL and data visualization tools is a plus.
- Excellent communication and teamwork skills.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in both an office environment and remotely.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee - Data Analytics
220000 Phuong Son
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking enthusiastic and motivated Graduate Trainees to join their Data Analytics program. This is an excellent opportunity for recent graduates to kickstart their careers in a challenging and rewarding environment. You will be part of a hybrid work model, combining remote work with office-based collaboration. Your primary focus will be on learning and applying data analysis techniques to extract meaningful insights from complex datasets. You will assist senior analysts in data collection, cleaning, processing, and visualization. Responsibilities include developing reports, building dashboards, and contributing to data-driven decision-making processes. The ideal candidate possesses strong analytical skills, a passion for data, and proficiency in programming languages like Python or R, along with experience in SQL. Familiarity with data visualization tools such as Tableau or Power BI is highly desirable. You will work closely with various departments, supporting them with data-related projects and providing insights that drive business strategy. Continuous learning and development are encouraged, with opportunities to attend workshops and training sessions. We are looking for individuals who are eager to learn, possess a strong work ethic, and can contribute fresh perspectives. Excellent communication skills are essential for collaborating with team members and presenting findings. This hybrid role requires a commitment to both independent remote work and collaborative team sessions.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming data from various sources.
- Perform data analysis using statistical methods and programming tools.
- Develop reports and visualizations to present data insights clearly.
- Support the development of dashboards and business intelligence tools.
- Collaborate with team members on data-related projects and initiatives.
- Identify trends, patterns, and anomalies in data.
- Contribute to data quality assurance processes.
- Learn and apply new data analysis techniques and technologies.
- Prepare presentations summarizing analytical findings.
- Participate in team meetings and knowledge-sharing sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for data extraction and manipulation.
- Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
- Excellent communication and presentation skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively both independently and as part of a team.
This advertiser has chosen not to accept applicants from your region.
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6
Graduate Trainee - Data Analytics
40000 Nam Dinh , Nam Dinh
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking bright and motivated Graduate Trainees to join their Data Analytics program. This is an exceptional opportunity for recent graduates to kickstart their careers in a data-driven environment, gaining hands-on experience and mentorship from industry experts. As a Graduate Trainee, you will be involved in various aspects of data analysis, from data cleaning and preparation to visualization and interpretation. You will work closely with experienced data analysts and business teams to understand data requirements, extract meaningful insights, and support decision-making processes. The ideal candidate has a strong quantitative background, a passion for data, and a desire to learn new technologies and methodologies. You should possess good analytical and problem-solving skills, attention to detail, and the ability to communicate findings effectively. This program is designed to provide a comprehensive learning experience, covering statistical analysis, data modeling, and the use of analytics tools and software. You will have the opportunity to contribute to real-world projects, develop your technical skills, and build a strong foundation for a successful career in data analytics. The program emphasizes practical application and continuous learning, providing a supportive environment for professional growth. You will learn to translate complex data sets into actionable business intelligence, helping the organization make more informed strategic decisions. Training will be provided on industry-standard tools and platforms. This role is based in Nam Dinh, Nam Dinh, VN , and requires full-time attendance in the office to facilitate direct mentorship and team collaboration.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop data visualizations and reports to communicate findings to stakeholders.
- Support the development and validation of data models.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply statistical techniques and data mining methods.
- Document data sources, methodologies, and findings.
- Participate in team meetings and contribute to project discussions.
- Gain exposure to various data analytics tools and technologies.
- Assist in ad-hoc data analysis requests.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Proficiency in Excel and basic knowledge of programming languages like Python or R is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong attention to detail and commitment to data accuracy.
- Good communication and interpersonal skills.
- Ability to learn quickly and adapt to new technologies.
- Eagerness to work in a team-oriented environment.
- A genuine interest in data and its applications in business.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Analytics
50000 An Thanh
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking enthusiastic and ambitious Graduate Trainees to join their Data Analytics team. This program offers a unique opportunity for recent graduates to gain hands-on experience in a dynamic corporate environment, developing essential skills in data analysis, visualization, and business intelligence. As a Graduate Trainee, you will work closely with experienced data professionals on real-world projects, contributing to data-driven decision-making across the organization. This role requires your presence in the office to facilitate mentorship and team integration.
Program Focus:
Location: This is an on-site position requiring your full-time presence at our offices in **Vung Tau, Ba Ria–Vung Tau, VN**.
Program Focus:
- Learn to collect, clean, and preprocess large datasets from various sources.
- Develop skills in statistical analysis and predictive modeling using tools like Python (Pandas, NumPy, Scikit-learn) and R.
- Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or QlikView.
- Assist in identifying key trends, patterns, and insights within business data.
- Support the development of reports and presentations for stakeholders.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Gain exposure to database management concepts and SQL querying.
- Participate in team meetings, training sessions, and project reviews.
- Develop problem-solving skills and a strong understanding of business objectives.
- Contribute to the continuous improvement of data processes and methodologies.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL is essential.
- Basic understanding of data visualization principles and tools is advantageous.
- Excellent written and verbal communication skills.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a team environment.
- Strong attention to detail and commitment to accuracy.
- Must be eligible to work in Vietnam.
Location: This is an on-site position requiring your full-time presence at our offices in **Vung Tau, Ba Ria–Vung Tau, VN**.
This advertiser has chosen not to accept applicants from your region.
8
Graduate Trainee - Data Analytics
05000 Hoa Sơn
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is actively seeking enthusiastic and driven Graduate Trainees to join their cutting-edge Data Analytics team. This is a fully remote, entry-level position designed for recent graduates eager to launch their careers in the exciting field of data science and analytics. You will have the opportunity to work alongside experienced data professionals, learning to extract, analyze, and interpret complex datasets to derive actionable insights. This role is crucial for supporting various business functions by providing data-driven recommendations. You will gain hands-on experience with industry-leading tools and methodologies in a supportive and collaborative virtual environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and data visualization tools to identify trends, patterns, and anomalies.
- Support the development of reports, dashboards, and presentations to communicate findings to stakeholders.
- Learn and apply data modeling techniques and predictive analytics.
- Collaborate with team members on data-driven projects and initiatives.
- Contribute to the improvement of data quality and data management processes.
- Gain exposure to programming languages such as Python or R and SQL for data manipulation and analysis.
- Participate in training sessions and team meetings to enhance technical skills and industry knowledge.
- Develop a foundational understanding of business intelligence tools (e.g., Tableau, Power BI).
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel; experience with SQL is a plus.
- Familiarity with at least one programming language (e.g., Python, R) is advantageous.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Proactive, eager to learn, and detail-oriented with a strong work ethic.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for data and uncovering insights.
- Enthusiasm for a career in data analytics.
This advertiser has chosen not to accept applicants from your region.
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