Senior Analytics Engineer: Drive Revenue & Margin Growth

Reap; Malaysia; On-site; MYR 180,000 - 320,000; Full time

Job summary

Reap's Data & Analytics team is building a self-service analytics platform with three access paths governed SQL on Snowflake, Metabase dashboards, and AI-assisted answers through Claude all reading from a single governed semantic layer, so every team gets consistent numbers whichever path they take.

As a Senior Analytics Engineer, you’ll own a set of Reap’s business domains end to end from the underlying data and definitions to the dashboards to the stakeholder relationships, with no handoffs in

Qualifications

• 8+ years in analytics engineering or analytics roles.
• End-to-end ownership of data, metrics and reporting.
• Strong analytical judgment for structured, decision-ready answers.
• Partner with commercial, finance, or risk teams.
• Expert SQL with dimensional modeling fundamentals.
• Experience with Snowflake and Metabase.

Responsibilities

• Own your domains end to end—from data to dashboard to stakeholder.
• Deliver value-added analysis: pricing, forecasting, client deep-dives, and proposals that shape commercial decisions.
• Identify revenue opportunities and translate into recommendations for business owners.
• Partner with your domains’ business teams as embedded decision support in meetings.
• Turn recurring questions into permanent dashboards and documentation entries.
• Design and maintain your domains’ vetted views and metric definitions in the Snowflake semantic layer.
• Build and own your domains’ Metabase dashboards, ensuring numbers are trusted and debuggable.
• Run enablement: documentation, training sessions, weekly office hours, and Slack support.
• Collaborate with Data Engineering and Data Product Managers on priorities and rollout.

Skills

Advanced SQL

Dimensional modeling

Stakeholder management

Analytical thinking

Tools

Snowflake

Metabase

Job description

Reap's Data & Analytics team is building a self-service analytics platform with three access paths governed SQL on Snowflake, Metabase dashboards, and AI-assisted answers through Claude all reading from a single governed semantic layer, so every team gets consistent numbers whichever path they take.

As a Senior Analytics Engineer, you’ll own a set of Reap’s business domains end to end from the underlying data and definitions to the dashboards to the stakeholder relationships, with no handoffs in