Regional Data Analytics Engineering Manager

2 weeks ago

Singapore Ninja Van Full time

Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia. Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries.

At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started We have much room for improvement and many ideas that will further shape the industry.

The Data Analytics Engineering Manager is responsible for enhancing self-service business intelligence throughout the organization through effective management of the enterprise data warehouse (presto, data warehouse, data lake) and business intelligence software (metabase, redash)

**Responsibilities**:

- Collaborate with business users and data analysts to understand user requirements
Develop and automate large scale, high-performance data warehouse pipelines
- Monitor the usage of the data warehouse and optimize performance and cost through data modeling best practices
- Maintain data warehouse documentation (data catalog) in collaboration with data analysts and data engineers
- Implement data quality monitoring tools
- Contribute to data warehousing processes and standards to improve the productivity and quality of output for the data team
- Provide leadership and technical guidance to data analytics engineers
- Structure and manage workflows within the team and between the team and other stakeholders (data analysts, data scientists, data engineering)
- Provide effective user administration, documentation, training materials and end user support
- Maintain up-to-date knowledge of latest tools and technologies
- Evaluate new tools and technologies for BI users

**Requirements**:

- Minimally a Bachelor's Degree in relevant fields (i.e. Computer Science, Engineering, Mathematics or Statistics) with at least 5 years of experience in designing, building and operating data warehouses
- At least 2 years of experience in managing a team
- Proficiency in data modelling, SQL and Python
- Experience in using Spark, Presto, Hive, bash, Linux, Git, GCP, Airflow, REST API etc. will be an added advantage

**Competencies**:

- Analytics and Computational Modeling
- Business Needs Analysis
- Data Visualization
- Stakeholder Management
- Computational Thinking
- Communication
- Problem Solving

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