856 Data Analysis jobs in Indonesia
Agronomist - Remote Data Analysis
Posted today
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 8 days ago
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Graduate Trainee - Data Analysis
Posted 8 days ago
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Key responsibilities and learning opportunities include:
- Assisting in the collection, cleaning, and processing of large datasets from various sources.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Developing and generating reports, dashboards, and visualizations to communicate findings effectively.
- Supporting the design and implementation of data models and analytical frameworks.
- Collaborating with cross-functional teams to understand business requirements and translate them into analytical tasks.
- Learning and applying statistical methods and data mining techniques.
- Contributing to the development of predictive models and forecasting tools.
- Participating in data quality assurance processes to ensure accuracy and reliability.
- Assisting in the documentation of data sources, methodologies, and results.
- Gaining exposure to various data analysis tools and software (e.g., SQL, Python/R, BI tools).
- Attending training sessions and workshops to enhance analytical and technical skills.
- Presenting findings and insights to team members and management.
- Contributing to a culture of data-driven decision-making within the organization.
- Learning about business operations and how data analysis impacts strategic goals.
- Undertaking assigned projects to gain practical experience in real-world scenarios.
Remote Graduate Trainee - Data Analysis
Posted 5 days ago
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Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis to identify trends and patterns.
- Develop data visualizations and reports to communicate findings.
- Support senior analysts in developing and implementing data models.
- Learn and apply statistical methods and techniques to analyze data.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data processes and methodologies.
- Gain proficiency in data analysis tools and software.
- Collaborate with team members on various data-related tasks.
- Contribute to a culture of data-driven decision-making.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts.
- Familiarity with programming languages like Python or R, and SQL is a plus.
- Excellent attention to detail and organizational skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- Proactive attitude and strong work ethic.
- Passion for data and its potential to drive business value.
Remote Graduate Trainee - Data Analysis
Posted 6 days ago
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Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical techniques to identify trends, patterns, and insights.
- Develop and create data visualizations (charts, graphs, dashboards) to present findings effectively.
- Support senior analysts in preparing reports and presentations for stakeholders.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply various data analysis tools and software (e.g., SQL, Python, R, Excel, Tableau).
- Contribute to the maintenance and improvement of data quality and integrity.
- Help identify areas for process improvement in data collection and analysis.
- Participate in team meetings and training sessions to enhance skills and knowledge.
- Undertake special projects as assigned by the data analytics team.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools or programming languages (e.g., Excel, SQL, Python, R) is a strong plus.
- Excellent attention to detail and commitment to data accuracy.
- Strong written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Must have reliable internet access and a suitable home workspace.
- Passion for data and a desire to build a career in data analytics.
Remote Junior Graduate - Data Analysis
Posted 8 days ago
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As a Remote Junior Graduate, your responsibilities will include supporting senior analysts in data extraction from various sources, performing data cleaning and transformation to ensure accuracy and completeness, and conducting preliminary data analysis using statistical methods. You will also assist in creating data visualizations and reports to communicate findings effectively to stakeholders. This role requires proficiency with data analysis tools such as Excel and an eagerness to learn programming languages like Python or R, as well as SQL for data querying. Excellent communication skills are essential for collaborating with team members virtually and understanding project requirements. You will work closely with a mentor who will guide you through projects and professional development. The ability to manage your time effectively and maintain productivity in a remote setting is crucial for success.
Key Responsibilities:
- Assist in data collection from various sources.
- Perform data cleaning, validation, and transformation.
- Conduct preliminary data analysis using statistical techniques.
- Create data visualizations and charts to represent findings.
- Assist in the preparation of reports and presentations.
- Support senior analysts on ongoing data projects.
- Learn and apply new data analysis tools and techniques.
- Maintain data integrity and accuracy.
- Collaborate with team members on data-related tasks.
- Document data processes and methodologies.
- Help identify trends and patterns in datasets.
- Contribute to a positive and collaborative remote team environment.
- Recent graduate with a Bachelor's or Master'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.
- Basic understanding of statistical concepts.
- Eagerness to learn programming languages (Python, R) and SQL.
- Excellent written and verbal communication skills for remote interaction.
- Ability to work independently and manage tasks effectively in a remote setting.
- Detail-oriented and organized.
- A proactive approach to learning and development.
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Remote Graduate Trainee - Data Analysis
Posted 8 days ago
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Program Overview:
- Gain comprehensive training in data analysis techniques, statistical modeling, and visualization tools.
- Work on real-world projects, analyzing complex datasets to extract meaningful insights.
- Learn to use data analysis software such as Python (Pandas, NumPy), R, SQL, and BI tools (Tableau, Power BI).
- Develop skills in data cleaning, transformation, and preparation.
- Collaborate with experienced data scientists and analysts on data-driven solutions.
- Contribute to the development of reports and dashboards to communicate findings to stakeholders.
- Participate in regular feedback sessions and performance reviews.
- Develop problem-solving skills and a strong analytical mindset.
- Understand business objectives and how data analysis can support strategic decisions.
- Explore different areas of data analysis within the company.
- Build a professional network and gain exposure to industry best practices.
- Receive mentorship from senior team members throughout the program.
- Gain practical experience in presenting data findings.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL) is highly desirable.
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Proactive attitude and a keen interest in data and analytics.
- Team player with good interpersonal skills.
- Access to a reliable internet connection and a suitable remote workspace.
Junior Graduate Trainee - Data Analysis
Posted 8 days ago
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Remote Graduate Trainee - Data Analysis
Posted 8 days ago
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Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement data visualization techniques to effectively communicate findings.
- Support senior analysts in building and testing predictive models.
- Conduct market research and gather data to inform business strategies.
- Learn and apply statistical methods and data mining techniques.
- Contribute to the creation of reports and presentations summarizing data insights.
- Participate in team meetings and contribute to discussions on data-driven solutions.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Develop proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
- Assist in maintaining data quality and integrity.
- Undertake assigned learning modules and training sessions to build analytical capabilities.
- Work on ad-hoc data analysis requests as needed.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.
- Basic understanding of statistical concepts and data visualization principles.
- Excellent communication and interpersonal skills, with the ability to articulate complex information clearly.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and a passion for data-driven insights.
- Must have a reliable internet connection and a suitable remote work setup.