Senior Data & BI Analyst

Gravity Markets Limited

Singapore

On-site

SGD 120,000 - 210,000

Full time

14 days+
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Job summary

Gravity Markets Limited in Singapore is seeking a data analytics leader to own the core performance dashboard across all divisions and build KPI frameworks tying departmental goals to revenue. You will generate CEO narratives, forecast growth, and define ROI models for partnerships and budgets.

You will also set up data infrastructure, write SQL, and enable self-serve analytics for cross-functional teams in a fast-moving fintech environment.

Qualifications

  • 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/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.

Responsibilities

  • Own the central performance dashboard across all divisions (Trading, Marketing, BD, Product, Operations).
  • Create and maintain KPI frameworks that link department goals to revenue and growth targets.
  • Generate weekly and monthly CEO reports with narratives on performance and resource needs.
  • Analyze company performance to identify growth levers and forecast scenarios.
  • Define and track KPIs for marketing efficiency, BD ROI, and partner venue performance.
  • Set up the data foundation: pipelines, databases, dashboards, and analytics tools (e.g., BigQuery, Looker).
  • Build SQL queries and data models directly to minimize engineering dependency.
  • Design self-serve data systems for teams to access unified data.
  • Construct ROI models for partnerships, vendors, and budgets.

Skills

SQL
Python/R
BI tools
Financial modeling
OKR management
Strong communication
Startup/Agile
Crypto experience

Tools

BigQuery
Looker
Metabase
PowerBI
Superset

Job description

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.
Job Requirements
  • 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).
  • 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.
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