Senior Data & BI Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 78d ago
The date the source published, not the day we noticed it (2026-06-29). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Singapore
The description agrees: it names Singapore.
What the ad says
…Location: Singapore (Full-Time, Hybrid/Remote Friendly) 📩…
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
🌍 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.