Junior Data Analyst [Daily Worker]

KEY RESPONSIBILITIES:

• Collect, consolidate, and analyze data from relevant business sources, including sales, marketplace, marketing, and operational data.
• Perform data cleaning, validation, and reconciliation to identify and resolve data inconsistencies, missing information, or potential data quality issues.
• Prepare and maintain regular business performance reports, dashboards, and data visualizations using relevant analytical and reporting tools.
• Monitor key business and operational performance indicators and identify significant trends, patterns, variances, and performance gaps.
• Conduct exploratory and structured data analysis to identify business opportunities, potential risks, and areas for improvement.
• Develop data-driven insights and recommendations to support improvements in sales performance, marketplace performance, marketing activities, and operational effectiveness.
• Support stakeholders in defining data requirements, analytical objectives, and reporting needs based on business priorities.
• Translate business requirements into appropriate datasets, reports, dashboards, and analytical outputs.
• Present and communicate analytical findings in a clear and understandable manner to both technical and non-technical stakeholders.
• Support the development and enhancement of data dashboards and analytical solutions to improve accessibility and usability of business information.
• Utilize Microsoft Excel, SQL, and data visualization tools such as Power BI, Tableau, or equivalent platforms for data analysis and reporting.
• Apply Python or other analytical tools, where relevant, to support data processing, analysis, or automation. (Optional)
• Maintain accurate documentation of data sources, analytical processes, reports, and dashboards to support consistency and traceability.
• Conduct ad hoc analysis and prepare relevant data insights to support management requests, business reviews, and new project requirements.
• Collaborate with relevant teams to validate analytical findings and ensure that insights are aligned with actual business conditions.
• Continuously identify opportunities to improve data quality, reporting processes, analytical methods, and overall efficiency of data-driven decision-making.

QUALIFICATION:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Business Administration, or a related field.

• Minimum 1 years of professional experience in Data Analysis, Business Intelligence, Business Analytics, Data Science, or a related analytical role.

• Proven experience in data analysis and interpretation, preferably involving sales, marketing, marketplace, e-commerce, or business performance data.

• Strong understanding of data preparation, data cleaning, validation, transformation, and analysis.

• Experience identifying trends, patterns, performance gaps, and business opportunities through data analysis.

• Proficient in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, data analysis, and reporting functions.

• Working knowledge of SQL for data extraction, querying, manipulation, and analysis.

• Experience creating reports, dashboards, and data visualizations using tools such as Power BI, Tableau, or equivalent platforms.

• Strong analytical and problem-solving skills with the ability to translate data into clear, actionable business insights and recommendations.

• Strong attention to detail with a commitment to data accuracy, consistency, and reliability.

• Good communication skills with the ability to explain analytical findings and data insights to technical and non-technical stakeholders.

• Ability to manage multiple analytical tasks, prioritize effectively, and meet deadlines in a fast-paced business environment.

• Good working proficiency in Bahasa Indonesia and English.