28 Data Cleaning jobs in Vietnam
Remote Senior Data Cleaning Specialist
Posted 6 days ago
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Job Description
Key responsibilities include:
- Develop and execute comprehensive data cleaning processes to identify and correct errors, inconsistencies, and inaccuracies in datasets.
- Implement data validation rules and techniques to ensure data integrity and quality.
- Analyze large datasets to detect patterns of errors, missing values, and duplicate entries.
- Perform data standardization and transformation to ensure consistency across different data sources.
- Utilize scripting languages (e.g., Python with Pandas, SQL) to automate data cleaning tasks.
- Collaborate with data scientists, analysts, and engineers to understand data requirements and resolve data quality issues.
- Document data cleaning procedures, methodologies, and best practices.
- Contribute to the development of data governance policies and data quality frameworks.
- Proactively identify potential data quality risks and recommend solutions.
- Train and mentor junior data cleaning professionals on best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data cleaning, data validation, data quality management, or a similar role.
- Proficiency in data manipulation and analysis using tools such as Python (Pandas, NumPy), R, or SQL.
- Strong understanding of database structures and data warehousing concepts.
- Experience with data visualization tools for identifying anomalies is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional attention to detail and commitment to data accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Prior experience in remote work environments is highly desirable.
Agronomist - Remote Data Analysis
Posted 6 days ago
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Job Description
Key Responsibilities:
- Analyze agricultural data, including sensor data, satellite imagery, historical yield data, and weather information.
- Develop and implement data-driven strategies for crop management, irrigation, fertilization, and pest control.
- Utilize statistical software and tools to interpret complex datasets and identify key trends.
- Provide recommendations to farmers and agricultural stakeholders on best practices for increasing yield and sustainability.
- Monitor crop health and performance using remote sensing technologies and field data.
- Collaborate with research teams to design and interpret field trials.
- Create reports and presentations that clearly communicate findings and recommendations to a diverse audience.
- Stay current with advancements in agricultural science, agronomy, and agri-tech.
- Assist in the development of predictive models for crop yields and disease outbreaks.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new tools and platforms for agricultural data management and analysis.
- Maintain a deep understanding of different crop types and their specific needs.
Qualifications:
- Bachelor's or Master's degree in Agronomy, Agriculture, Plant Science, or a related field.
- Proven experience as an Agronomist or in a similar agricultural advisory role.
- Strong understanding of data analysis techniques and statistical methods.
- Proficiency with data analysis software such as R, Python, SPSS, or similar.
- Experience with GIS and remote sensing software (e.g., ArcGIS, QGIS, Google Earth Engine) is a significant advantage.
- Familiarity with agricultural data platforms and sensors.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information clearly.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for sustainable agriculture and agricultural technology.
- Knowledge of Vietnamese agricultural practices and challenges is a plus.
This is a groundbreaking opportunity for an agronomist to combine their field expertise with cutting-edge data science in a fully remote capacity. If you are passionate about improving agricultural productivity through data, we encourage you to apply.
Apprenticeship in Data Analysis
Posted 6 days ago
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Job Description
Graduate Trainee - Data Analysis
Posted 8 days ago
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Job Description
The ideal candidate holds a recent Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. You should possess a strong analytical mindset, a keen eye for detail, and a passion for uncovering insights from data. While prior professional experience is not required, a solid understanding of statistical concepts and familiarity with data analysis tools (e.g., Excel, SQL, Python, R) is highly beneficial. Excellent communication skills and the ability to work collaboratively in a remote team setting are essential. We are looking for individuals who are eager to learn, adaptable, and ready to take on challenging assignments.
Key responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data analysis using statistical methods and software tools.
- Develop reports and visualizations to communicate findings effectively.
- Support senior analysts in identifying trends and patterns.
- Contribute to data quality assurance processes.
- Learn and apply new data analysis techniques and technologies.
- Collaborate with team members on project tasks.
- Participate in training sessions and knowledge-sharing activities.
- Assist in maintaining data documentation and repositories.
- Provide support for ad-hoc data requests from various departments.
This internship offers an unparalleled opportunity for recent graduates to build a foundational skillset in data analysis within a dynamic, remote setting. Join us and launch your career in data science from your location, with opportunities potentially extending to My Tho, Tien Giang, VN .
Graduate Trainee - Data Analysis
Posted 8 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data analysis to identify trends, patterns, and insights.
- Support the development of reports, dashboards, and visualizations.
- Learn and apply statistical techniques and data analysis methodologies.
- Collaborate with team members on data-related projects.
- Contribute to data quality assurance and validation processes.
- Assist in documenting data analysis procedures and findings.
- Gain exposure to data analysis tools and software.
- Participate in training sessions and professional development activities.
- Support ad-hoc data requests from different departments.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Familiarity with data analysis concepts and techniques.
- Basic understanding of statistical principles.
- Proficiency in Microsoft Excel.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is advantageous.
- Strong communication and interpersonal skills.
- Eagerness to learn and a proactive attitude.
Graduate Trainee - Data Analysis
Posted 11 days ago
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Job Description
- Assist in data collection, extraction, and cleaning from various sources.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and maintain reports and interactive dashboards using business intelligence tools.
- Support senior analysts in analyzing complex datasets and generating insights.
- Assist in the development of data models and analytical solutions.
- Learn and apply statistical methods for data analysis.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members to understand data requirements and deliver findings.
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Contribute to documentation of data processes and analytical methodologies.
- Support the team in presenting data findings to stakeholders.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential.
- Familiarity with data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), or R is a significant advantage.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and commitment to data accuracy.
- Strong communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data analysis and business intelligence.
Remote Geoscientist - Data Analysis
Posted 12 days ago
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Job Description
Qualifications:
- Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field with a strong emphasis on data analysis.
- Minimum of 5 years of professional experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software packages (e.g., Petrel, Leapfrog, ArcGIS) and data analysis tools.
- Strong programming skills in Python or R for data manipulation and analysis.
- Excellent understanding of geological principles and exploration techniques.
- Proven ability to work independently and manage projects remotely.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated experience in report writing and presentation of technical data.
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Graduate Trainee - Data Analysis
Posted 12 days ago
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Graduate Trainee - Data Analysis
Posted 13 days ago
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Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and pre-processing from diverse sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and dashboards to communicate findings.
- Contribute to the preparation of analytical reports and presentations.
- Collaborate with senior analysts and data scientists on ongoing projects.
- Learn and apply statistical techniques and machine learning concepts.
- Assist in maintaining data quality and integrity.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
- Strong analytical and quantitative skills with a passion for data.
- Proficiency in at least one programming language (e.g., Python, R).
- Basic knowledge of SQL for database querying.
- Familiarity with data visualization tools is a plus.
- Excellent problem-solving abilities and attention to detail.
- Strong written and verbal communication skills in English.
- Ability to work independently and effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Trainee - Data Analysis
Posted 13 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in the collection and aggregation of data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and accuracy.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and implementation of statistical models and algorithms.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior analysts on data-related projects and initiatives.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to problem-solving discussions.
- Adhere to data privacy and security protocols.
- Engage in continuous learning and professional development within the data analytics field.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis methodologies.
- Familiarity with programming languages such as Python or R is a plus.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Eagerness to learn and adapt to new technologies and tools.
- Good communication and teamwork skills.
- Proactive attitude and attention to detail.
- Ability to work effectively within a team environment.
Location: Thai Nguyen, Thai Nguyen, VN