Back to search
Data & AnalyticsRemote

Senior Data & BI Analyst

GRVT TECHNOLOGIES · Remote

Apply
Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from GRVT TECHNOLOGIES's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
Remote
Salary
Not listed by source
Location
Singapore

Hiring context

How this role compares at GRVT TECHNOLOGIES

GRVT TECHNOLOGIES has 7 live roles in MeritLog’s catalog across 5 job families, and 2 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

GRVT TECHNOLOGIES concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

Keep exploring

More Data & Analytics roles

Search all jobs

Privacy choices

Analytics and advertising stay off unless you allow them. Private data stays out.

Read the privacy notice