Mobbin

Analytics Engineer

Mobbin

full-time

Posted on:

Location Type: Remote

Location: Singapore

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Tech Stack

ETLSQL

About the role

  • Own and evolve the analytics data stack across ingestion, warehouse, and transformations in dbt.
  • Design event schemas and model core domains into well‑defined marts and semantic layers.
  • Define and maintain consistent, versioned metrics used across teams.
  • Build dashboards and internal tools in Metabase, Retool, and raw SQL to answer data questions.
  • Partner across functions to run analyses and enable self‑service.
  • Implement testing, lineage, alerting, and SLAs to improve data quality and observability.
  • Establish and maintain a data catalog covering sources, owners, sensitivity, and retention.
  • Operationalise privacy by design: access controls, PII classification, deletion and retention workflows.

Requirements

  • Have advanced understanding of statistical methods.
  • Have moderate knowledge and experience in running experiments and experimentation analysis.
  • Build clear, maintainable dashboards and queries in Metabase, Retool, and raw SQL.
  • Communicate clearly with non‑technical stakeholders with robust data models.
  • Translate business outcomes into analytical metrics.
  • Be strong in SQL, warehousing, and performance tuning.
  • Be fluent with dbt (models, tests, exposures, packages, macros) and Git‑based workflows with CI.
  • Be comfortable with customer data platforms, ELT/Reverse ETL, and event pipeline design.
  • Understand dimensional modelling, semantic layers, metric governance, and documentation practices.
  • Know privacy/compliance basics (GDPR/CCPA, retention, deletion, DSRs) and how to automate them.
Benefits
  • Work life balance
  • Flexible work hours
  • Health & fitness benefits
  • Health insurance, medical coverage, and dental coverage
  • Work from anywhere (Singapore office or Remote)
  • Yearly company retreat
  • Apple equipment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdbtstatistical methodsdata warehousingperformance tuningevent pipeline designdimensional modellingmetric governancedata catalogingdata quality
Soft Skills
communicationcollaborationanalytical thinkingproblem-solvingstakeholder engagementself-service enablementclear documentationexperiment analysisprivacy awarenessdata visualization