What Jobs are available for Junior Data Analyst in Indonesia?

Requirement:

• Berpengalaman dalam menggunakan excel/gsheet
• Berpengalaman menggunakan data visualization tools (Tableau, Power BI, dsb)
• Paham terkait A/B Testing dan Cohort Analysis.
• Farmiliar menggunakan project management tools (Jira, Confluence)
• Pengalaman kerja as Data Analyst/Business Intelligence 3 thn

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Create reports and dashboards to visualize data insights.
• Support senior analysts in ad-hoc data requests and analysis.
• Collaborate with team members to understand data requirements.
• Help maintain data integrity and accuracy.
• Learn and apply data analysis tools and techniques.
• Document data processes and findings.
• Contribute to team meetings and discussions.
• Gain practical experience in a business intelligence environment.

• Assist in the collection and cleaning of large datasets from various sources.
• Perform data analysis using statistical methods to identify trends, patterns, and insights.
• Develop reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to visualize data.
• Support senior analysts in generating insights for business strategy and decision-making.
• Help in maintaining data integrity and accuracy across databases.
• Contribute to the documentation of data processes and methodologies.
• Learn and apply new data analysis techniques and tools.
• Collaborate with cross-functional teams to understand their data needs.
• Assist in ad-hoc data requests and analytical projects.
• Participate in team meetings and contribute to discussions on data-driven solutions.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Foundational understanding of data analysis principles and statistical concepts.
• Familiarity with data visualization tools like Tableau or Power BI is a plus.
• Basic proficiency in SQL for data extraction and manipulation.
• Exposure to programming languages like Python or R for data analysis is beneficial.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and a proactive attitude.

• Assist in the collection, cleaning, and transformation of data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and maintenance of business intelligence dashboards and reports.
• Extract and query data using SQL.
• Create data visualizations to effectively communicate findings.
• Collaborate with senior analysts to understand data requirements and project objectives.
• Assist in documenting data processes and methodologies.
• Participate in team meetings and contribute to discussions on data analysis best practices.
• Learn and apply new data analysis tools and techniques.
• Ensure data accuracy and integrity throughout the analysis process.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with SQL for data querying.
• Exposure to data visualization tools (e.g., Tableau, Power BI, Excel charts) is a plus.
• Proficiency in Microsoft Excel.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently in a remote setting.

• Assisting in the collection and consolidation of data from various sources.
• Performing data cleaning, transformation, and validation to ensure data accuracy and integrity.
• Developing and maintaining reports and dashboards using BI tools (e.g., Tableau, Power BI, Looker).
• Supporting senior analysts in conducting data analysis to identify trends, patterns, and insights.
• Collaborating with business users to understand their data needs and reporting requirements.
• Documenting data sources, methodologies, and report specifications.
• Learning and applying data visualization best practices to create clear and effective presentations.
• Participating in team meetings and contributing to project discussions.
• Helping to identify opportunities for process improvements in data collection and reporting.

• Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong analytical and critical thinking skills.
• Basic understanding of database concepts and SQL.
• Familiarity with at least one BI or data visualization tool (e.g., Tableau, Power BI, Excel).
• Excellent attention to detail and ability to manage multiple tasks.
• Good communication skills, both written and verbal, for effective collaboration.
• Proactive and eager to learn new technologies and techniques.
• Previous internship or project experience in data analysis is a plus but not mandatory.

• Assist in the collection, cleaning, and validation of data from various sources.
• Perform data analysis using SQL, Excel, and other analytical tools to identify trends, patterns, and insights.
• Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
• Collaborate with senior analysts to understand business requirements and translate them into data-driven solutions.
• Prepare clear and concise summaries of findings, including visualizations and narratives, for stakeholders.
• Assist in troubleshooting data discrepancies and resolving data quality issues.
• Learn and apply new analytical techniques and technologies to enhance data analysis capabilities.
• Participate in team meetings and contribute to discussions on data strategy and reporting best practices.
• Ensure data accuracy and integrity in all reporting and analysis activities.
• Support ad-hoc data requests from various business units.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundational understanding of data analysis principles and statistical concepts.
• Proficiency in SQL for data querying and manipulation.
• Experience with Microsoft Excel, including advanced functions and pivot tables.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication skills, with the ability to explain technical information to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively as part of a team.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Support the development and maintenance of business intelligence reports and dashboards.
• Help in creating visualizations to effectively communicate data insights.
• Document data sources, methodologies, and analytical findings.
• Collaborate with senior analysts to understand business requirements and translate them into data queries.
• Participate in team meetings and contribute to discussions on data-driven strategies.
• Learn and apply statistical techniques for data analysis.
• Assist in ad-hoc data requests and analysis as needed.

• Pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong understanding of statistical principles and analytical concepts.
• Proficiency in Microsoft Excel for data analysis and manipulation.
• Basic knowledge of SQL for data querying is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work collaboratively in a team environment.

• Collect, clean, and organize data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards using BI tools.
• Assist in the creation of data visualizations to communicate findings effectively.
• Support senior analysts in ad-hoc data requests and projects.
• Ensure data accuracy and integrity through validation and quality checks.
• Learn and apply SQL for data extraction and manipulation.
• Collaborate with business stakeholders to understand data needs and requirements.
• Contribute to the development and improvement of data processes.
• Stay updated on data analysis techniques and tools.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 0-2 years of experience in data analysis or a related field.
• Proficiency in Microsoft Excel, including pivot tables and advanced formulas.
• Basic knowledge of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills.
• Eagerness to learn and develop new technical skills.
• Ability to work effectively in a team environment on-site in **Medan, North Sumatra, ID**.

• Assist in gathering data from various sources, including databases, spreadsheets, and external APIs.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI, Google Data Studio).
• Collaborate with senior analysts and business stakeholders to understand data requirements.
• Support the creation of ad-hoc reports and analyses as needed.
• Contribute to the documentation of data definitions, processes, and methodologies.
• Help identify opportunities for data quality improvements and process automation.
• Stay updated on new data analysis techniques and tools.
• Participate in team meetings and contribute to ongoing projects.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Familiarity with data manipulation languages such as SQL.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI).
• Proficiency in Microsoft Excel for data analysis and reporting.
• Excellent attention to detail and accuracy.
• Good problem-solving skills and a proactive attitude.
• Strong verbal and written communication skills in Bahasa Indonesia.
• Basic English proficiency is a plus.
• Eagerness to learn and develop new skills in a fast-paced environment.