Senior Analytics Engineer

🔥 14 hours ago

🌐 Hong Kong, Malaysia, +3 more countries – Remote

🇭🇰 Hong Kong – Remote 🇲🇾 Malaysia – Remote 🇵🇭 Philippines – Remote 🇸🇬 Singapore – Remote 🇹🇼 Taiwan – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reap

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💳 Fintech

₿ Crypto

🤝 B2B

Fintech • Crypto • B2B

Reap is a fintech company providing borderless, stablecoin-enabled financial infrastructure for businesses. It offers business accounts (Reap Direct), Visa corporate cards with fiat and stablecoin repayment, cross-border payments powered by stablecoins, expense management for multi-currency treasuries, and embedded finance APIs including card issuing and payment APIs to automate global fiat payouts and enable stablecoin-native finance.

📋 Description

• Own assigned business domains end to end, from data and metric definitions through dashboards and stakeholder relationships • Deliver pricing and cost-saving analyses, forecasting, client deep-dives, and commercial proposals • Identify and quantify revenue opportunities, pricing optimization, upsell/cross-sell potential, retention drivers, and margin expansion opportunities • Translate analyses into clear recommendations for business owners • Partner with business teams as embedded decision support in meetings and decision-making • Convert recurring questions into permanent answers through new columns, dashboards, or documentation • Design and maintain vetted views and metric definitions in Snowflake’s semantic layer • Build and maintain Metabase dashboards • Validate dashboard data, reconcile it against Finance-owned figures, and debug discrepancies to root cause • Provide enablement documentation, training sessions, weekly office hours, and Slack support • Collaborate with Data Engineering on ingestion and modeling decisions • Collaborate with Data Product Managers on priorities and rollout • Work with upstream engineers, data engineers, analytics engineers, and data product managers in a distributed team • Report to the Analytics Lead within the Data & Analytics functional team

🎯 Requirements

• 8+ years in analytics engineering or analytics roles • End-to-end ownership of a business domain’s data, metrics, and reporting • Strong analytical judgment and ability to turn ambiguous business questions into structured, decision-ready answers • Comfortable working with commercial, finance, or risk teams • Expert SQL • Solid dimensional modeling fundamentals • Experience building or maintaining semantic or metrics layers • Hands-on experience with modern cloud data warehouses and BI tooling, specifically Snowflake and Metabase • Experience with validation, reconciliation, and investigating discrepancies to root cause • Clear documentation and ability to train non-technical stakeholders to self-serve • Proven experience building pricing, profitability, or growth analyses that influenced commercial strategy, investment decisions, or client proposals • Fintech, payments, or card-issuing domain experience is nice to have • Experience with dbt or similar transformation and testing frameworks is nice to have • Python or another scripting language for validation and automation is nice to have • Experience with or strong interest in AI-assisted analytics is nice to have • Experience contributing to data governance is nice to have • Track record of building revenue or opportunity dashboards, pricing models, or commercial scorecards is nice to have

🏖️ Benefits

• Fully remote work arrangement • Async-friendly distributed team • Opportunity to work with stablecoin-powered corporate cards, payments, expense management tools, and embedded-finance APIs • Training sessions, weekly office hours, and Slack support as part of the role