Senior AI Analytics Engineer

This is a fully remote position, open to applicants in Hong Kong, +4 more countries.

📋 Description

• Take ownership of specific business domains from start to finish, encompassing underlying data, definitions, dashboards, and stakeholder relationships.

• Conduct pricing and cost-saving analyses, forecasting, in-depth client evaluations, and commercial proposals.

• Discover and assess revenue opportunities and growth strategies, including pricing optimization, upsell/cross-sell potential, retention factors, and margin enhancement.

• Convert analyses into straightforward recommendations for business leaders.

• Collaborate with business teams as integrated decision support during meetings and decision-making processes.

• Transform recurring inquiries into permanent solutions through new columns, dashboards, or documentation.

• Design and maintain approved views and metric definitions within the Snowflake semantic layer.

• Develop and sustain Metabase dashboards.

• Verify dashboard figures, align them with Finance-controlled figures, and troubleshoot discrepancies to their source.

• Oversee enablement documentation, training sessions, weekly office hours, and Slack support.

• Work in partnership with Data Engineering on data ingestion and modeling decisions.

• Collaborate with Data Product Managers regarding priorities and implementation.

• Report to the Analytics Lead within the Data & Analytics functional team.

⛳️ Requirements

• Over 8 years of experience in analytics engineering or analytics roles.

• Comprehensive ownership of a business domain’s data, metrics, and reporting.

• Strong analytical judgment with the ability to convert ambiguous business questions into structured, actionable answers.

• Competence in partnering credibly with commercial, finance, or risk teams.

• Proficient in SQL.

• Solid understanding of dimensional modeling fundamentals.

• Experience in building or maintaining semantic or metrics layers.

• Practical experience with Snowflake and Metabase.

• Familiarity with validation, reconciliation, and tracing discrepancies to their sources.

• Exceptional documentation skills and the ability to train non-technical stakeholders to self-serve.

• Proven track record in generating revenue and opportunity insights through pricing, profitability, or growth analyses.

• Experience in the fintech, payments, or card-issuing domain is a plus.

• Familiarity with dbt or similar transformation and testing frameworks is advantageous.

• Knowledge of Python or another scripting language for validation and automation is beneficial.

• Interest or experience in AI-assisted analytics, LLM tooling, skill/prompt design, or text-to-SQL is a plus.

• Experience contributing to data governance, including access models, PII handling, and naming conventions, is advantageous.

• A history of developing revenue or opportunity dashboards, pricing models, or commercial scorecards is a plus.

🏝️ Benefits

• Fully remote work arrangement.

• Distributed, asynchronous-friendly team.

• Stablecoin-enabled corporate cards, payments, and expense management tools (company offering, not an employee benefit).

• Training sessions and professional development through domain enablement.

• Weekly office hours and Slack support resources.