Analytics Enablement Lead for Self-Service Data

Lalamove; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Lalamove in Hong Kong seeks a Data Enablement Lead to bridge backend data infrastructure with business analytics. You will own the BU's data stack, collaborate with the central team, and build localized pipelines for speed and agility.

You will design high-performance data cubes and AI-driven data bots, enabling non-technical stakeholders to query data easily and get instant insights. This role emphasizes governance and scalable data tooling.

Qualifications

• 5+ years of experience in data engineering, analytics engineering, or technical data product management.
• Proficiency in SQL and Python with strong experience in large-scale data warehouses (Hive) and modern OLAP engines (Doris, ClickHouse, StarRocks).
• Experience building interactive data tools (e.g., Cube.js, semantic layers) or leveraging AI/LLM frameworks to simplify data retrieval.
• Deep understanding of dimensional modeling, star schemas, data aggregation, and query optimization.

Responsibilities

• Build, maintain, and optimize data pipelines feeding the BU analytics layer.
• Architect non-data-person-facing tools to automate data access (data cubes, semantic layers, AI data bots).
• Establish best practices for data modeling, pipeline monitoring, and data quality in the BU repository.
• Coordinate as the technical interface between analytics teams and central platform data engineering.
• Scope, prioritize, and manage end-to-end analytics engineering projects and enable self-serve tools for stakeholders.

Skills

SQL

Python

Data Warehousing

Hive

Doris

ClickHouse

StarRocks

Data Modeling

AI Tools

Cube.js

Tools

Cube.js

LangChain

OpenAI APIs

Text-to-SQL

Job description

Lalamove in Hong Kong seeks a Data Enablement Lead to bridge backend data infrastructure with business analytics. You will own the BU's data stack, collaborate with the central team, and build localized pipelines for speed and agility.

You will design high-performance data cubes and AI-driven data bots, enabling non-technical stakeholders to query data easily and get instant insights. This role emphasizes governance and scalable data tooling.