Senior Analytics Engineer

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

📋 Description

• Take complete ownership of assigned business domains, managing everything from data and metric definitions to dashboards and stakeholder relationships.

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

• Discover and assess revenue opportunities, optimize pricing strategies, identify upsell/cross-sell potential, analyze retention drivers, and explore margin expansion possibilities.

• Convert analytical findings into straightforward recommendations for business stakeholders.

• Collaborate with business teams as an embedded decision support resource during meetings and decision-making processes.

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

• Design and uphold approved views and metric definitions within Snowflake’s semantic layer.

• Develop and maintain dashboards using Metabase.

• Verify dashboard data, align it with Finance-owned figures, and troubleshoot discrepancies to identify root causes.

• Provide enablement documentation, conduct training sessions, hold weekly office hours, and offer Slack support.

• Work together with Data Engineering on data ingestion and modeling strategies.

• Partner with Data Product Managers to prioritize initiatives and manage rollouts.

• Collaborate with upstream engineers, data engineers, analytics engineers, and data product managers in a distributed team environment.

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

⛳️ Requirements

• Minimum of 8 years in analytics engineering or related analytics roles.

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

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

• Comfortable collaborating with commercial, finance, or risk management teams.

• Proficient in SQL.

• Solid understanding of dimensional modeling principles.

• Experience in building or maintaining semantic or metrics layers.

• Practical experience with modern cloud data warehouses and BI tools, particularly Snowflake and Metabase.

• Familiarity with validation, reconciliation, and investigation of discrepancies to determine root causes.

• Ability to produce clear documentation and educate non-technical stakeholders for self-service analytics.

• Demonstrated experience in developing pricing, profitability, or growth analyses that have shaped commercial strategy, investment decisions, or client proposals.

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

• Experience contributing to data governance is desirable.

• Proven track record of creating revenue or opportunity dashboards, pricing models, or commercial scorecards is beneficial.

🏝️ Benefits

• Fully remote work arrangement.

• Asynchronous-friendly distributed team.

• Opportunity to work with stablecoin-powered corporate cards, payment solutions, expense management tools, and embedded-finance APIs.

• Access to training sessions, weekly office hours, and Slack support as part of the role.