Job Description

Location: Vientiane, Laos

Type: Full-time

Job Summary

Lao ASEAN Leasing Public Company, Ltd is the leading leasing company in Laos, offering financing solutions for automobiles and heavy equipment to both corporate and individual clients. We are seeking a

Data Aggregation Specialist

to collect, integrate, process, and maintain data from multiple internal and external sources. The ideal candidate will ensure data accuracy, consistency, and availability to support reporting, analytics, and business decision-making.

Key Responsibilities

Collect and aggregate data from multiple sources (databases, APIs, files, applications, third-party systems).

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

Develop and maintain data integration workflows and automated data pipelines.

Monitor data quality and resolve data discrepancies or errors.

Prepare aggregated datasets for reporting, dashboards, and analytics teams.

Work closely with IT, analytics, and business teams to understand data requirements.

Maintain documentation for data sources, processes, and data flows.

Ensure data security, access control, and compliance with company policies.

Optimize data aggregation processes for performance and scalability.

Required Skills & Qualifications

Diploma / Degree in

IT, Computer Science, Data Science, or related fields

.

Strong knowledge of

SQL

and relational databases (MySQL, PostgreSQL, SQL Server, etc.).

Experience working with large datasets and data transformation.

Familiarity with data formats such as

CSV, JSON, and XML

.

Basic understanding of

ETL processes

and data integration concepts.

Ability to analyze data issues and troubleshoot effectively.

Strong attention to detail and problem-solving skills.

Good communication and documentation skills.

Preferred / Added Advantages

Experience with

Python

,

PowerShell

, or similar scripting languages.

Experience with

APIs

and system integrations.

Familiarity with

BI tools

(Power BI, Tableau, Metabase, etc.).

Knowledge of

Linux environments

and automation.

Experience in cloud platforms (AWS, Azure, or GCP) is an advantage.

Experience Level

Minimum

3 years' experience

in data handling, data processing, or a similar IT role

Job Type: Full-time