RevOps and GTM analytics
Scoring against a 2 million company registry, campaign measurement, and the weekly numbers a managing director ran the week on.
South Jakarta, Indonesia · remote first
Data analyst who answers the business question, then fixes the pipeline when it cannot.
Seven years as the data person a company calls when the pipeline does not exist yet, or has gone quiet. I build the models, measures and reports, then stay for the argument about what the number means.
Available from 23 November 2026 · remote for Indonesia and Singapore, open to relocating to Singapore on an employment pass
7
years in data
50%
lower cost per lead
300+
leads a week
4,034
leads contacted
What I do
Four things I am hired for
BI and dashboard delivery
Tableau and Power BI built from the data model up, plus the dbt jobs behind them, so a report stays true when the source moves.
Pipelines and ETL
The first pipeline at three companies. SQL, Python and dbt, with the checking that catches a broken source before the nine o clock meeting.
Modelling and experiments
A random forest forecast shipped into a live pipeline, A/B framing for product decisions, and scraper work when the data was not for sale.
Selected work
Case studies
Each one states the business question, what I built, the number that moved, and what it proves. Every figure traces back to a role or a metric record.
A B2B lead engine for a Singapore agency, built from nothing
Twelve campaigns and 445 contacted leads became 55 campaigns and 4,034. The work was a pipeline, a staged enrichment pass, and a CRM the sales team trusted.
Result
300+ leads a week, up from about 100 a month
Fixing the reporting pipeline that broke before every meeting
Tableau Prep and dbt jobs failed about one run in ten, and the slowest dashboards took a minute to open. I took failures under 5% and load time to 15 seconds.
Result
Failures from 10% to under 5%, dashboards from a minute to 15 seconds
A payment button, a conversion drop, and the case that found it
Conversion fell from over 20% to under 15% on a government training programme. The funnel pointed at a payment button below the fold, and the fix restored the rate.
Result
Conversion back from under 15% to 20-25%
Halving cost per lead by changing what counted as a lead
The growth team spent against a definition of a qualified lead that did not match what converted. Rebuilding the measurement cut marketing spend per lead by half.
Result
Marketing spend per lead halved in a year
Track record
The last four roles
AI Sales Doctor Apr 2026 – Present
Data Analyst (RevOps & GTM Support)
- Grew lead output from about 100 a month to 300+ a week by replacing the manual prospecting sheet the sales team worked from with an automated pipeline.
- Ran 55 outbound campaigns that contacted over 4,000 leads, up from 12 campaigns and 445 leads before the role existed.
LexHive (formerly DemandLane) Feb 2025 – Apr 2026
Lead Data Analyst
- Cut Tableau Prep and dbt job failures from about 10% to under 5%, which meant the data was still readable at nine in the morning instead of being rebuilt by hand.
- Redesigned the pipelines behind the slowest dashboards and took load time from about a minute to under 15 seconds.
PINTAR Mar 2023 – Mar 2024
Business Intelligence, Corporate Development
- Cut marketing spend per lead by 50% after rebuilding how corporate development measured lead quality, which changed what the growth team was allowed to spend against.
- Consolidated reporting across four teams so leadership used one number.
Tokopedia Dec 2021 – Mar 2023
Data Analyst, Physical Goods (Seller Experience)
- Gave product managers the seller data behind their minutes-active targets.
- Helped ship an auto stock adjustment for rejected listings, which cut out-of-stock order rejections by roughly half on that slice.
Toolkit
Tools I actually use
| Group | Tools |
|---|---|
| Programming | SQLexpert , Pythonexpert |
| Transformation | dbtworking |
| BI and visualisation | Tableauexpert , Looker Studioworking , Metabaseworking , Holisticsworking , Lookerworking , Power BIworking |
| Spreadsheets | Google Sheetsexpert , Excelexpert |
| Automation | Google Apps Scriptworking , n8nworking |
| CRM and RevOps | HubSpotworking , Creatioexposure , Monday.comexposure |
| Data engineering | ETLworking , AWSexposure , Web scrapingworking , Fivetranexposure , Talendexposure , BigQueryworking |
| Marketing analytics | Google Analyticsworking , Google Tag Managerworking |
| Analytics practice | Data visualisationexpert , Stakeholder managementexpert , A/B testingworking , Statisticsworking , Machine learningworking |
| Engineering practice | Gitworking |
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