Analytics Engineer — Data Platform & Metrics Architect

Momcozy; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Momcozy in Singapore is seeking an Analytics Engineer to design and own the data infrastructure that powers company-wide decision making. You will define the warehouse architecture, establish a single source of truth, and ensure numbers across teams are consistent and well-explained.

You will work with product managers, operations, and regional teams to build scalable data platforms using StarRocks and Hive, focusing on governance, lineage, and reliable metrics that drive business insight.

Qualifications

• Bachelor's degree or above in Statistics, Data Science, Computer Science, Mathematics, or a related field, or equivalent industry experience.
• 3+ years of experience in data platform, analytics engineering, or data science at internet companies
• Proven ability to build a business data system from 0 to 1, covering the full lifecycle: tracking plan design → event dictionary → dimensional modeling → semantic layer → metrics framework → data governance
• Hands-on experience abstracting business semantics, unifying dimensions, and driving metric standardization to production
• Legally authorized to work in Singapore; this role does not provide visa sponsorship

Responsibilities

• Design and build a standardized four-layer warehouse architecture (ODS / DWD / DWS / ADS) on StarRocks, Hive, and related big-data components
• Model core business dimensions including user, device, campaign, app version, region, and acquisition channel, enabling layered reuse of detail-level data, aggregated data, and application metrics
• Map core business scenarios and build a company-wide standardized metrics framework; own canonical definitions for key metrics — user activity (DAU/WAU/MAU), PV/UV, retention, funnel conversion, campaign GMV, device error rate — including calculation rules, dimensions, and documentation
• Build and maintain the semantic layer to unify metric definitions, dimension semantics, and business logic, shielding business users from underlying warehouse complexity
• Establish end-to-end data governance mechanisms covering event-tracking review, data validation, dirty-data cleansing, definition iteration, anomaly monitoring, and alerting
• Continuously reduce the share of invalid and anomalous data; keep pipelines stable, trustworthy, and fully traceable

Skills

Data modeling

Analytical thinking

Stakeholder communication

Data governance

Problem solving

Education

Bachelor's degree or above in Statistics, Data Science, Computer Science, Mathematics, or a related field

Tools

StarRocks

Hive

Job description

Momcozy in Singapore is seeking an Analytics Engineer to design and own the data infrastructure that powers company-wide decision making. You will define the warehouse architecture, establish a single source of truth, and ensure numbers across teams are consistent and well-explained.

You will work with product managers, operations, and regional teams to build scalable data platforms using StarRocks and Hive, focusing on governance, lineage, and reliable metrics that drive business insight.