GRVT TECHNOLOGIES is hiring a Lead, Data Strategy & Insights to establish the data foundation and drive strategic decisions across the company. You will own the central performance dashboard, generate key insights from company data, and translate findings into clear narratives for leadership, with the eventual goal of building and leading a dedicated Data & Insights team.

What You'll Do

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 on performance and resource allocation.
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.
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.
Set up the data foundation for the company, including pipelines, databases, dashboards, and analytics tools.
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.
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).

What We're Looking For

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.

Nice to Have

Familiarity with crypto, trading, or on-chain analytics.

Technical Stack

SQL, Python, R
BigQuery, Looker, Metabase, Mixpanel, Superset, PowerBI

Team & Environment

You will report directly to the CEO and work closely with the heads of Trading, Marketing, BD, and Product. A core part of the role is to eventually build and lead a small Data & Insights team comprising an analyst, data engineer, and BI developer.