Corporate Development Analyst

Kargo Technologies; Daerah Khusus Ibukota Jakarta; On-site; IDR 246.062.000 - 410.105.000; Full time

Job summary

A leading logistics technology company in Jakarta is looking for a Data Analyst. In this role, you will create dashboards and reports, provide insights based on data analysis, and work closely with teams to enhance performance. A bachelor's degree in a relevant field and at least 3 years of experience in data analysis are required. Proficiency in tools like SQL, Excel, and Power BI is essential.

Qualifications

• 3+ years of experience as a Data Analyst or similar role.
• Proficiency in data analysis tools like Excel, SQL, Power BI, Tableau.
• Strong analytical skills to identify trends and conclusions.

Responsibilities

• Create dashboards and reports to present data findings to stakeholders.
• Provide actionable insights based on data analysis.
• Work closely with teams to support data-driven decision-making.

Skills

Data analysis

SQL

Excel

Python

Power BI

Tableau

Education

Bachelor's degree in Data Science, Statistics, or related field

Tools

Excel

SQL

Power BI

Tableau

DBT

Airflow

Job description

Responsibilities

• Create dashboards, reports, and data visualizations to present findings clearly and concisely to stakeholders.
• Provide actionable insights and recommendations based on data analysis to help teams optimize processes, improve performance, and support decision-making.
• Work closely with cross-functional teams to provide data-driven support for various business functions.
• Perform ad hoc data analysis to support specific projects or business needs as required.
• Utilize tools like Excel, SQL, Python, or BI platforms (Power BI, Tableau) to perform and automate analysis.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field.
• At least 3 years of experience as a Data Analyst or in a similar analytical role.
• Proficiency in data analysis tools (Excel, SQL, Power BI, Tableau, etc.) and maintaining modern data pipeline stack (DBT, Airflow).
• Strong ability to analyze complex data, identify trends, and draw meaningful conclusions.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.