Analytics Engineer (Data Infrastructure & Business Insights)

Cove Living Pte Ltd; Singapore; Remote; SGD 70,000 - 90,000; Full time

Job summary

A growing flexible living platform in Asia Pacific is seeking an Analytics Engineer to design and maintain data pipelines and dashboards. The ideal candidate has 3-5 years of experience in analytics engineering, strong SQL skills, and is fluent in English. This is a full-time remote position offering the chance to work in a vibrant, collaborative environment.

Qualifications

• 3-5 years of experience in data engineering, analytics engineering, or data analytics roles.
• Strong collaboration with non-technical stakeholders.
• Hands-on experience with BI tools, especially Looker Studio.

Responsibilities

• Design, build, and maintain ETL/ELT processes and data pipelines.
• Build and maintain dashboards and visualizations.
• Ensure data quality and consistency across the organization.

Skills

Data engineering experience

Strong communication skills

SQL proficiency

Excel proficiency

Experience with BigQuery

Python for data processing

Data visualization experience

Fluent in English

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

BigQuery

Looker Studio

MongoDB

Job description

Cove started with renting coliving spaces. Now we’ve expanded to more than just coliving spaces, providing flexibility for comfortable and enjoyable long term or short term stays in our beautiful properties. With over 6000 rooms across Singapore and Indonesia, we’re living our mission and growing our homes in South Korea and Japan.

Believing in the power of a team, we aim to build the leading tech flexible living platform in Asia Pacific, providing high quality and community-centric accommodations. Here we also encourage authenticity and fun to fully embrace being human in a driven and result focused environment to make things happen and ensure the dream becomes a reality.

Job Title: Analytics Engineer (Data Infrastructure & Business Insights)

Job Type: Full-time

Reports To: Head of Engineering

Location: Remote (~GMT+8)

What you’ll be doing:

1. Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, etc.);
2. Build and maintain dashboards and visualizations in Looker Studio and other BI tools;
3. Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;
4. Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions.

What makes you a great fit:

1. 3-5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment;
2. Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions;
3. Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus;
4. Experience with Python for data processing or automation (knowledge of other programming languages is a plus);
5. Solid understanding of data modeling and database design principles;
6. Hands-on experience with data visualization and BI tools, especially Looker Studio;
7. BS in Mathematics, Economics, Computer Science, Information Management or Statistics;
8. Fluent in written and spoken English.