Data Analyst

Orico Balimor Finance; Jakarta Pusat; On-site; IDR 167,400,000 - 256,680,000; Full time

Job summary

Orico Balimor Finance is seeking a Data Analyst to collect, analyze, and interpret data to support informed business decisions in a dynamic environment. You will build and maintain dashboards using Power BI, Tableau, or Amazon QuickSight, and perform data extraction and analysis with SQL, Excel, and Python.

The role requires a Bachelor’s degree in a related field and 1–3 years of experience, with strong SQL/Excel skills and data visualization tool experience.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Statistics, Mathematics, Economics, or a related field.
• Minimum 1-3 years of experience as a Data Analyst or in a related data/analytics role.
• Strong proficiency in SQL and Microsoft Excel.
• Experience with Power BI, Tableau, Amazon QuickSight, or other data visualization tools.
• Good knowledge of Python for data analysis is preferred.
• Strong understanding of data analysis, data cleaning, data visualization, and reporting.
• Good understanding of databases, data structures, and basic ETL/ELT processes.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to translate business requirements into data analysis and actionable insights.
• Good communication and presentation skills.
• Ability to work independently as well as collaboratively with cross-functional teams.

Responsibilities

• Collect, analyze, and interpret data from various internal and external sources to support business decision-making.
• Develop and maintain reports, dashboards, and data visualizations using Power BI, Tableau, or Amazon QuickSight.
• Perform data extraction and analysis using SQL, Microsoft Excel, and Python.
• Clean, transform, and validate data to ensure data accuracy, consistency, and quality.
• Identify trends, patterns, anomalies, and business opportunities through data analysis.
• Translate business requirements into data analysis, reports, and actionable insights.
• Perform ad-hoc analysis to support business and management needs.
• Collaborate with every stakeholder to understand business requirements and provide data-driven solutions.
• Prepare and present analytical findings and recommendations to management and relevant stakeholders.
• Support the development and improvement of data analytics processes, reporting standards, and data governance.
• Ensure data and analytical outputs are properly documented and maintained.

Skills

SQL

Microsoft Excel

Power BI

Tableau

Amazon QuickSight

Python

Data analysis

Data visualization

Communication

Presentation

Education

Bachelor’s degree in Information Systems

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Bachelor’s degree in Economics

Tools

Power BI

Tableau

Amazon QuickSight

Job description

Collect, analyze, and interpret data from various internal and external sources to support business decision-making.

Develop and maintain reports, dashboards, and data visualizations using tools such as Power BI, Tableau, or Amazon QuickSight.

Perform data extraction and analysis using SQL, Microsoft Excel, and Python.

Clean, transform, and validate data to ensure data accuracy, consistency, and quality.

Identify trends, patterns, anomalies, and business opportunities through data analysis.

Translate business requirements into data analysis, reports, and actionable insights.

Perform ad-hoc analysis to support business and management needs.

Collaborate with every stakeholder to understand business requirements and provide data-driven solutions.

Prepare and present analytical findings and recommendations to management and relevant stakeholders.

Support the development and improvement of data analytics processes, reporting standards, and data governance.

Ensure data and analytical outputs are properly documented and maintained.

Qualifications

Bachelor’s degree in Information Systems, Computer Science, Statistics, Mathematics, Economics, or a related field.

Minimum 1-3 years of experience as a Data Analyst or in a related data/analytics role.

Strong proficiency in SQL and Microsoft Excel.

Experience with Power BI, Tableau, Amazon QuickSight, or other data visualization tools.

Good knowledge of Python for data analysis is preferred.

Strong understanding of data analysis, data cleaning, data visualization, and reporting.

Good understanding of databases, data structures, and basic ETL/ELT processes.

Strong analytical and problem-solving skills with attention to detail.

Ability to translate business requirements into data analysis and actionable insights.

Good communication and presentation skills.

Ability to work independently as well as collaboratively with cross-functional teams.

Preferred Skills

Experience in financial services, banking, or consumer finance is a plus.

Experience with DWH, Data Lake, ETL/ELT, or cloud platforms is a plus.

Knowledge of statistical analysis and predictive analytics is a plus.

Experience working with large datasets is preferred.