Description

Job Description

As a member of ET data team, you will dive deep into vast business and engineering datasets to uncover insights that drive operational excellence and decision-making. You will partner closely with marketing and sales teams, system product manager, data engineering, applying advanced data analyst skill and rich visualizations to advance business team in digital transformation, data democratization and efficiency saving.

Collaborate with Marketing and Sales stakeholders to translate strategic goals into measurable KPIs;

Help defines each metric's business context, calculation logic, and threshold targets;

Highlights key variances, trends, and root-cause analyses;

Experience in automobile marketing sales and service is a plus.

Responsibilities

1. Design and implement end-to-end data analyst pipelines, extracting raw data from internal system, cleansing and loading into the BI tool.
2. Develop and maintain interactive BI dashboards (e.g., Power BI, Tableau, ABI) and routine management reports to surface actionable insights for executives and business stakeholders.
3. Collaborate with cross-functional teams (Product, Marketing, Sales, After-sales) to translate data insights into concrete business initiatives and process improvements.
4. Contribute to defining mid- and long-term data strategy, best practices, and analytic frameworks to boost efficiency and delivery quality.
5. Coach and mentor junior and mid-level data analysts, fostering data literacy, technical skill development and a culture of continuous learning.
6. Operate and maintain the CDP product, including but not limited to: permission management, account management, product support, usage research, product promotion.

Qualifications

5 yrs + total experience and at least 4 yrs related experience to data analysis.

Advanced SQL skills with strong relational database design experience;

Experience with ETL tools (Informatica, Talend, Azure Data Factory) or building custom data pipelines;

Advanced proficiency in a BI platform (Tableau, Power BI, ABI or similar);

Know in at least one scripting language (Python or R) and familiar with core data science libraries (Pandas, NumPy, scikit-learn, etc.).

Proficient in Phyton or R is a plus;

Experience with CDP, ABI, GMP is a plus;

Experience with Azure Databricks is a plus.