Data Analytics Specialist (East Asia), Mobility Aftermarket Division

Position Overview

The Regional Data Analytics Specialist translates Mobility Aftermarket business priorities and requirements from the department and Regional Headquarters into structured analytical approaches, clarifying and structuring requirements where appropriate.

The role integrates and analyzes vehicle, product, product marketing, and sales data across markets to identify performance drivers, gaps, trends, and business opportunities, and to develop meaningful cross-market and regional insights.

The role translates analytical findings into actionable business insights and recommendations, and supports relevant stakeholders in translating insights into actions and tracking progress.

Based on business needs, the role develops and maintains analytical solutions using Power BI, Python, SQL, structured working files, and other appropriate digital tools to enable effective reporting, analysis, and decision-making across East Asia.

The role also supports the improvement of regional data processes and workflows through database solutions, ETL, automation, and other appropriate technologies.

Key Responsibilities

1. Regional Business Analytics & Reporting

Perform cross-market analysis of vehicle, product, product marketing, sales, and related business data to identify performance trends, gaps, and opportunities.

Own and maintain recurring regional reports, KPI dashboards, Power BI solutions, and structured working files to support regional business and management requirements.

Develop common analytical logic, data models, and reporting views to enable consistent cross-market comparison and regional performance analysis.

Conduct ad-hoc and project-based analysis and deliver clear, actionable insights to Product Management, Marketing, Sales, and Management.

2. Data Integration & Analytical Solutions

Integrate, standardize, and prepare data from different markets and sources to support regional analytics and reporting.

Develop and maintain data processing and ETL workflows using Python, SQL, and PostgreSQL, including structured datasets and database solutions for recurring analytical needs.

Automate repetitive data preparation and reporting processes and develop reusable analytical solutions to improve data availability, consistency, and efficiency.

Maintain data logic, definitions, and technical documentation to ensure reliable and sustainable analytical operations.

3. Digital Solutions & Continuous Improvement

Develop practical digital and data applications, including database-connected web-based tools, to support business analysis and user interaction with data.

Improve existing analytical workflows and solutions through appropriate technologies, automation, and user-oriented design.

Explore and apply relevant technologies, including AI-enabled tools, to improve data analysis, business processes, and operational efficiency.

Bachelor’s degree, preferably in Computer Science, Business Analytics, Data Analytics, or a related field.

2–3 years of experience in business analytics or data analysis.

Proficiency in Python, SQL/PostgreSQL, and Power BI.

Strong analytical skills and ability to understand and challenge business requirements

Experience in below is a plus Automotive, B2B

meta data handling, ETL

web applications, Docker, automation, or AI tools

Fluent in English is required.

Committed 13th month bonus

Collaboratively yearly performance bonus

Meal & Parking allowances

Premium insurance for employee

Flexible benefits

Domestic and international training opportunity

Career development program with buddy and mentoring program

Good benefits of company activities, team building and year end party

Opportunity to work in global projects of fast developing company and being a part of innovation team contributing initiative ideas to the digital transformation era

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