Analytics Engineer (Data Infrastructure & Business Insights)

Cove; Remote; SGD 70,000 - 90,000; Full time

Job summary

A leading flexible living platform in Singapore seeks an Analytics Engineer focused on data infrastructure and business insights. This full-time role involves designing efficient ETL processes, maintaining data quality, and collaborating with various stakeholders. The ideal candidate will have 3-5 years of experience in data roles, proficiency in SQL and Excel, and a passion for data visualization. The position supports remote work and offers opportunities for professional growth in a dynamic environment.

Qualifications

• 3-5 years of experience in a relevant data role.
• Strong proficiency in SQL and Excel.
• Hands-on experience with data visualization tools.
• Fluent in written and spoken English.

Responsibilities

• Design and maintain ETL/ELT processes with BigQuery.
• Build dashboards and visualizations in Looker Studio.
• Ensure data quality and accessibility.
• Collaborate with stakeholders to clarify data needs.

Skills

Data engineering

Analytics engineering

SQL

Excel

Python

Data visualization

Communication with non-technical stakeholders

Education

Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics

Tools

BigQuery

Looker Studio

MongoDB

Job description

Analytics Engineer (Data Infrastructure & Business Insights)

Join to apply for the Analytics Engineer (Data Infrastructure & Business Insights) role at Cove

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

• 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, APIs, etc.).
• Build and maintain dashboards and visualizations in Looker Studio and other BI tools.
• Ensure data quality, consistency, and accessibility across the organization, implement data quality controls.
• 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

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

This Role Might Not Be a Good Fit If

• You prefer to focus purely on coding and don’t enjoy collaborating or communicating with non‑technical teams. This role requires frequent interaction with business stakeholders to understand their needs and translate them into data solutions.
• You find it stressful to manage multiple tasks at once. Our data requests can come from several teams simultaneously, and priorities may shift quickly — flexibility and context‑switching are part of the job.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology