Data Analyst - Work Force Management

Monee; Jakarta Pusat; On-site; IDR 122,760,000 - 167,400,000; Full time

Job summary

Monee is seeking a data analyst to transform data into actionable insights. You will analyze data using statistical methods, build and maintain dashboards, and contribute to data-driven decisions across teams.

The role emphasizes accuracy, efficiency, and collaboration with stakeholders to optimize business processes. The ideal candidate has at least 2 years of experience in data analytics, a Bachelor’s degree in a related field, strong SQL and BI tool skills (Power BI/Tableau), and proficiency

Qualifications

• Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, or a related field.
• Minimum of 2 years of professional experience in data analytics, BI, or a related role.
• Proficiency in SQL and spreadsheets, with familiarity in BI tools such as Power BI or Tableau.
• Proficiency in Python for data analysis or modeling is a strong advantage.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate data findings for non-technical stakeholders.

Responsibilities

• Analyze and interpret data using statistical techniques to identify trends and insights.
• Develop and implement data analysis strategies to improve data accuracy and quality.
• Identify opportunities for operational improvements and develop actionable plans.
• Establish, monitor, and evaluate KPIs to align with business objectives.
• Prepare and maintain regular performance reports to support decision-making.
• Manage end-to-end analytics projects from data collection to analysis and execution.
• Collaborate with cross-functional stakeholders to communicate findings and recommendations.

Skills

Data analytics

SQL

Python

Communication

Excel

BI tools

Education

Bachelor's degree in Statistics/Mathematics/Engineering/CS

Tools

Power BI

Tableau

Excel

Google Sheets

Job description

Job Description

• Analyze and interpret data using statistical techniques and research methodologies to identify trends, generate insights, and support data-driven decision-making.
• Develop and implement data analysis strategies to improve data accuracy, efficiency, and quality.
• Identify opportunities for operational improvements and develop actionable plans to optimize workflows and business processes.
• Establish, monitor, and evaluate key performance indicators (KPIs) to ensure alignment with business objectives and global directives.
• Prepare and maintain regular operational performance reports, including weekly, monthly, and periodic analyses, to support stakeholder decision-making.
• Manage end-to-end analytics projects, from gathering requirements and collecting data to data processing, analysis, and execution.
• Collaborate with cross-functional stakeholders to communicate analytical findings, provide actionable recommendations, and support business performance improvements.

Job Description

• Analyze and interpret data using statistical techniques and research methodologies to identify trends, generate insights, and support data-driven decision-making.
• Develop and implement data analysis strategies to improve data accuracy, efficiency, and quality.
• Identify opportunities for operational improvements and develop actionable plans to optimize workflows and business processes.
• Establish, monitor, and evaluate key performance indicators (KPIs) to ensure alignment with business objectives and global directives.
• Prepare and maintain regular operational performance reports, including weekly, monthly, and periodic analyses, to support stakeholder decision-making.
• Manage end-to-end analytics projects, from gathering requirements and collecting data to data processing, analysis, and execution.
• Collaborate with cross-functional stakeholders to communicate analytical findings, provide actionable recommendations, and support business performance improvements.

Requirements

• Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, or a related field.
• Minimum of 2 years of professional experience in data analytics, business intelligence, or a related role.
• Experience in credit data analytics is a strong advantage.
• Proficiency in SQL and spreadsheets (Microsoft Excel or Google Sheets), with familiarity in business intelligence tools such as Power BI, Tableau, or similar platforms.
• Proficiency in Python for data analysis or modeling is a strong advantage.
• Strong analytical and problem-solving skills, with excellent attention to detail.
• Good communication skills, with the ability to translate complex data findings into clear, actionable insights for non-technical stakeholders.