Senior Data & BI Analyst
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Before you apply
LocationSingapore
Work moderemote
Typefull-time
SenioritySenior
Experience4–8 yrs
DepartmentData
Company size9+ people
PostedJun 29, 2026 · 4mo ago
Verified live2h ago
At a glanceSummarised by Seekless from the posting.
4-8 years of experience in data analytics, strategy, or business intelligence roles within fintech, crypto, or top-tier tech
Highly skilled in SQL, with the ability to independently query and model data
Proficient in Python
Proficient in R
Proficient in 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
Familiarity with crypto, trading, or on-chain analytics
Skills
SQL
Python
R
BigQuery
Looker
Metabase
Mixpanel
Superset
PowerBI
About the role
🌍 Location: Singapore (Full-Time, Hybrid/Remote Friendly)
📩 Reports to: CEO
Responsibilities
🎯 Key Responsibilities
1. Company-Wide Performance Intelligence
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Build and own the central performance dashboard across all GRVT divisions (Trading, Marketing, BD, Product, Operations).
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Create and maintain KPI frameworks that link every department’s goals to company revenue and growth targets.
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Generate weekly and monthly CEO reports with clear narratives — what’s working, what’s not, and where to allocate resources.
2. Strategy & Insight Generation
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Analyze company performance and identify growth levers.
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Conduct deep dives into metrics like P&L, conversion funnels, and user retention
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Develop data-backed forecasts and scenarios (volume, revenue, user growth, liquidity).
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Turn findings into strategic recommendations that shape company direction.
3. KPI Setting & ROI Evaluation
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Define and track KPIs for marketing efficiency, BD ROI, and partner venue performance.
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Measure impact of every campaign, BD partnership, and feature launch — and recommend optimization levers.
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Build ROI models for decision-making on partnerships, vendors, and budgets.
4. Data Infrastructure & Automation
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Set up the data foundation for the company, pipelines, databases, dashboards, and analytics tools (e.g., BigQuery, Looker, Metabase, Mixpanel).
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Build and maintain SQL queries and data models directly, minimizing dependency on engineers.
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Design self-serve data systems for teams to access accurate and unified data.
Requirements
💡 Job Requirements
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4-8 years of experience in data analytics, strategy, or business intelligence roles within fintech, crypto, or top-tier tech (e.g., Revolut, Binance, Stripe, Uber).
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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
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A real-time data control center empowers the CEO and leadership team.
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All divisions operate with quantifiable goals and transparent ROI.
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Company OKRs and KPIs are rooted in measurable, outcome-driven metrics.
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Insights from the Data & Insights team directly shape strategy, capital allocation, and growth initiatives.