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Reap is a fintech company building borderless financial infrastructure for businesses operating across currencies and markets. Founded in 2018, the company combines stablecoin-enabled cross-border payments with business accounts, Visa corporate cards, multi-currency expense management, and embedded finance APIs. Its platform supports global fiat payouts, card issuing, payment automation, and treasury workflows for businesses seeking more flexible ways to manage international finances. Reap operates across fintech, crypto, and B2B markets with a team of 201–500 employees.
Senior AI Analytics Engineer – Hong Kong Remote
Lead end-to-end analytics domains, dashboards, and commercial insights at Reap. Its stablecoin-powered finance platform supports global payments, cards, and expense management.
Description
- Own business domains end to end, covering data foundations, metric definitions, dashboards, and stakeholder relationships
- Produce pricing and cost-reduction analyses, forecasts, client deep-dives, and commercial proposals
- Find and quantify revenue opportunities through pricing optimization, upsell and cross-sell potential, retention analysis, and margin expansion
- Convert analytical findings into clear, actionable recommendations for business owners
- Serve as embedded decision support for business teams during meetings and decisions
- Turn recurring business questions into durable solutions through new columns, dashboards, or documentation
- Create and maintain trusted views and metric definitions in the Snowflake semantic layer
- Develop and maintain Metabase dashboards
- Verify dashboard results against Finance-owned figures and investigate discrepancies to their root causes
- Own enablement documentation, training sessions, weekly office hours, and Slack support
- Work with Data Engineering on data ingestion and modeling decisions
- Partner with Data Product Managers on priorities and rollout plans
- Report to the Analytics Lead within the Data & Analytics team
Requirements
- At least 8 years of experience in analytics engineering or analytics roles
- Demonstrated end-to-end ownership of a business domain’s data, metrics, and reporting
- Strong analytical judgment with the ability to turn ambiguous business questions into structured, decision-ready conclusions
- Ability to build trusted partnerships with commercial, finance, or risk teams
- Expert-level SQL skills
- Strong foundation in dimensional modeling
- Experience developing or maintaining semantic or metrics layers
- Hands-on experience with Snowflake and Metabase
- Experience validating data, reconciling figures, and tracing discrepancies to their root causes
- Clear technical documentation skills and the ability to train non-technical stakeholders to self-serve
- Demonstrated success producing revenue and opportunity insights through pricing, profitability, or growth analysis
- Fintech, payments, or card-issuing experience is desirable
- Experience with dbt or comparable transformation and testing frameworks is desirable
- Python or another scripting language for validation and automation is desirable
- Experience with or strong interest in AI-assisted analytics, LLM tooling, skill or prompt design, or text-to-SQL is desirable
- Experience supporting data governance, including access models, PII handling, and naming standards, is desirable
- Track record of creating revenue or opportunity dashboards, pricing models, or commercial scorecards is desirable
Benefits
- Fully remote working arrangement
- Distributed team designed for asynchronous collaboration
- Stablecoin-enabled corporate cards, payments, and expense management tools offered by the company
- Training and professional development through domain enablement
- Weekly office hours and Slack support resources
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