Lead, Data Strategy & Insights

Location: Singapore (Full-Time, Hybrid/Remote Friendly)

Reports to: CEO

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.