Lead, Data Strategy & Insights

🌍 Location: Singapore (Full-Time, Hybrid/Remote Friendly)
📩 Reports to: CEO
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🎯 Key Responsibilities

1. Company-Wide Performance Intelligence

• Build and own the central performance dashboard across all GRVT divisions (Trading, Marketing, BD, Product, Operations).

• Create and maintain KPI frameworks that link every department’s goals to company revenue and growth targets.

• Generate weekly and monthly CEO reports with clear narratives — what’s working, what’s not, and where to allocate resources.
  

2. Strategy & Insight Generation

• Analyze company performance and identify growth levers.

• Conduct deep dives into metrics like P&L, conversion funnels, and user retention

• Develop data-backed forecasts and scenarios (volume, revenue, user growth, liquidity).

• Turn findings into strategic recommendations that shape company direction.
  

3. KPI Setting & ROI Evaluation

• Define and track KPIs for marketing efficiency, BD ROI, and partner venue performance.

• Measure impact of every campaign, BD partnership, and feature launch — and recommend optimization levers.

• Build ROI models for decision-making on partnerships, vendors, and budgets.
  

4. Data Infrastructure & Automation

• Set up the data foundation for the company, pipelines, databases, dashboards, and analytics tools (e.g., BigQuery, Looker, Metabase, Mixpanel).

• Build and maintain SQL queries and data models directly, minimizing dependency on engineers.

• Design self-serve data systems for teams to access accurate and unified data.
  

5. Leadership & Cross-Functional Influence

• Work closely with heads of Trading, Marketing, BD, and Product to align analytics and strategy.

• Translate data into clear narratives for the CEO, investors, and board.

• Over time, build and lead a small Data & Insights team (analyst, data engineer, BI developer)

💡 Job Requirements

• 5–10 years of experience in data analytics, strategy, or business intelligence roles within fintech, crypto, or top-tier tech (e.g., Revolut, Binance, Stripe, Uber).

• Highly skilled in SQL, with the ability to independently query and model data.

• Proficient in Python/R and BI tools such as Superset, PowerBI, Looker, or Metabase.

• Strong grasp of financial modeling, P&L analysis, and business metrics — able to connect data to outcomes.

• Experienced in OKR setting, KPI management, and performance tracking across teams.

• Excellent communicator who can simplify complex data into executive-level insights.

• A hands-on builder who thrives in a fast-moving startup environment.

• Bonus: Familiarity with crypto, trading, or on-chain analytics.

📈 What Success Looks Like

• A real-time data control center empowers the CEO and leadership team.

• All divisions operate with quantifiable goals and transparent ROI.

• Company OKRs and KPIs are rooted in measurable, outcome-driven metrics.

• Insights from the Data & Insights team directly shape strategy, capital allocation, and growth initiatives.