Contact
nadia.rahmawati@example.com
+62 812 3456 7890
Jakarta, Indonesia
LinkedIn: linkedin.com/in/nadiarahmawati
Portfolio: nadia.works
Skills
Analysis
SQLPython (pandas)Requirements EngineeringProcess Mapping (BPMN)A/B Testing
Tools
JiraConfluenceMetabaseFigmadbt
Domain
PaymentsReconciliationLogistics OpsAgile / Scrum
Languages
Indonesian — Native
English — C1 — Advanced
Dutch — A2 — Elementary
Certifications
IIBA Certification of Capability in Business Analysis (CCBA) (2023)
Professional Scrum Product Owner I (2021)

Nadia Rahmawati

Senior Business Analyst · Data-Driven Product Delivery

Business Analyst with 7+ years translating ambiguous business problems into shipped product outcomes across fintech and logistics. Led requirements for a payments migration serving 2.4M monthly users and cut manual reconciliation effort by 68%. Fluent in SQL, stakeholder facilitation, and agile delivery across distributed teams.

Experience

Senior Business Analyst · Pundi Fintech
Mar 2022 – Present
  • Led requirements discovery for a core payments migration serving 2.4M monthly active users, delivering on schedule with zero rollback incidents.
  • Cut manual reconciliation effort 68% (31 → 10 hours/week) by redesigning the settlement exception workflow with the finance and engineering teams.
  • Built a self-serve SQL/Metabase reporting layer adopted by 40+ non-technical stakeholders, removing ~120 ad-hoc data requests per quarter.
  • Facilitated 3 cross-functional discovery workshops that reprioritised the roadmap and deferred IDR 1.8B of low-impact scope.
Business Analyst · Kirim Logistics
Jul 2019 – Feb 2022
  • Specified a route-optimisation module that lifted on-time delivery from 82% to 94% across 1,200 daily shipments.
  • Ran A/B analysis on driver incentive schemes, identifying a variant that raised weekend fill rate 22% at neutral cost.
  • Authored 40+ user stories with acceptance criteria; sprint carry-over dropped from 28% to 9% over two quarters.
Junior Data Analyst · Telkom Digital
Aug 2017 – Jun 2019
  • Automated a weekly churn report in Python, saving 6 analyst hours per week and standardising definitions across 3 business units.
  • Supported a customer-segmentation study that informed a retention campaign retaining 4,800 at-risk subscribers.

Projects

Settlement Exception Engine

Rules-driven queue that auto-resolves 7 of 14 payment exception types; adopted as the finance team’s daily workflow.

Open Reconciliation Toolkit

Open-source Python package for matching ledger entries against gateway payouts. 340+ GitHub stars.

Education

B.Sc. in Industrial Engineering
Universitas Indonesia · 2013–2017