Data Analytics

Spx Express; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A logistics company in Jakarta is seeking a skilled data analyst to detect and mitigate fraud and operational risks. The role involves analyzing transaction data and coordinating with various teams to ensure data integrity. Candidates should have at least 2 years of experience in data analytics, with proficiency in tools such as Excel and SQL. Ideal for those with a background in Statistics or Computer Science and experience in fraud detection.

Qualifications

• Minimum 2 years of working experience in data analytics and insights generation.
• Experience in fraud detection, risk analysis, compliance, or similar field.

Responsibilities

• Collect, clean, and validate data from various sources for deep analysis.
• Analyze transaction data to detect fraud and anomalies.
• Produce regular reports on fraud trends and case resolutions.

Skills

Data analysis

Fraud detection

Risk analysis

Attention to detail

Integrity and ethics

Education

Bachelor's degree in Statistics, Computer Science, Criminology, or related field

Tools

Excel

SQL

Looker

Python

R

Job description

Job Description

• Collect, clean, and validate data from various sources for deep analysis


• Analyze transaction data, user activity, and other related data to detect fraud and anomalies/irregularities


• Coordinate with Operations, Risk, and Security teams to respond to fraud cases/incidents


• Produce regular reports on fraud trends, case resolutions, and risk mitigation efforts


• Deliver data-driven insights to proactively identify and mitigate potential business/operational risks and fraud

Requirements

• Bachelor's degree in Statistics, Computer Science, Criminology, or related field


• Minimum 2 years of working experience in data analytics and insights generation


• Proficient and experience in data query & analysis tools (e.g. Excel, SQL, Looker) and advanced analytics language (e.g. Python, R)


• Experience in fraud detection, risk analysis, compliance, or similar field


• Strong analytical skills, high attention to details, and high standard of integrity & ethics


• Ability to make quick, data-informed insights and decisions


• Prior experience in logistic industry is an advantage