Senior AI Analytics Engineer for Revenue & Growth

Reap; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Reap in Hong Kong is seeking a Senior Analytics Engineer to own end-to-end analytics across key business domains, from data definitions to dashboards and stakeholder delivery.

You'll build and maintain Snowflake semantic layers, develop Metabase dashboards, and drive revenue-impacting analyses such as pricing, profitability, and forecast scenarios in close partnership with business teams. This role emphasizes scalable, permanent answers over one-off reports.

Qualifications

• 8+ years in analytics engineering or analytics roles with end-to-end ownership of a business domain’s data, metrics, and reporting.
• Strong analytical judgment to drive ambiguous business questions to structured, decision-ready answers.
• A stakeholder partner’s instincts comfortable embedded with commercial, finance, or risk teams.
• Expert SQL with solid dimensional modeling fundamentals and experience building or maintaining semantic or metrics layers.
• Hands-on experience with a modern cloud data warehouse and BI tooling we use Snowflake and Metabase.
• The rigor financial data demands: validation, reconciliation, and chasing discrepancies to root cause.
• A teacher’s communication skills: clear documentation, and the ability to train non-technical stakeholders to self-serve.
• Proven ability to generate revenue and opportunity insights from pricing, profitability, or growth analyses.

Responsibilities

• Own your domains end to end - a single named owner from the data to the dashboard to the conversation with the stakeholder asking the question.
• Deliver value-added analysis for your domains: pricing and cost-saving analyses, forecasting, client deep-dives, and proposals that shape commercial decisions.
• Identify and quantify revenue opportunities and growth levers and translate them into clear recommendations for business owners.
• Partner with your domain’s business teams as embedded decision support in meetings and shaping decisions, not a ticket queue.
• Turn recurring questions into permanent answers: every repeat request becomes a new column, dashboard, or documentation entry.
• Design and maintain your domains’ vetted views and metric definitions in our Snowflake semantic layer read by all paths.
• Build and own your domains’ Metabase dashboards, ensuring numbers are trustworthy and reconciled against finance figures.
• Run enablement documentation, training sessions, weekly office hours, and Slack support so stakeholders self-serve.

Skills

SQL expertise

Stakeholder management

Data modeling

Communication skills

Tools

Snowflake

Metabase

dbt

Python

Job description

Reap in Hong Kong is seeking a Senior Analytics Engineer to own end-to-end analytics across key business domains, from data definitions to dashboards and stakeholder delivery.

You'll build and maintain Snowflake semantic layers, develop Metabase dashboards, and drive revenue-impacting analyses such as pricing, profitability, and forecast scenarios in close partnership with business teams. This role emphasizes scalable, permanent answers over one-off reports.