About
I’m a Senior Data Analyst with deep expertise in transforming raw, messy datasets into reliable, decision-ready intelligence. I take pride in building analytical frameworks that are rigorous, reproducible, and genuinely useful — bridging the gap between data engineering and the stakeholders who depend on accurate insight every day.
Currently, I'm on the Analytics Platform team at Stripe, where I own end-to-end reporting pipelines that serve product, finance, and operations across the company. I lead instrumentation design, dashboard strategy, and data quality initiatives, partnering with engineers and PMs to ensure every metric we ship is trustworthy and actionable.
Previously, I’ve worked across a range of industries — from high-growth fintech startups to enterprise software — including stints at Palantir, Twilio, and a Series B healthcare analytics company. Outside of my day job, I actively contribute to open-source data tooling and have published several guides on building robust test coverage for data pipelines. These experiences shaped my conviction that clean data and reliable systems are the foundation every good product decision rests on.
Experience
2021 — PRESENT
Senior Data Analyst • Stripe
Own end-to-end analytics pipelines powering revenue, growth, and operational reporting across the company. Partner with product and engineering teams to define instrumentation standards, improve data quality, and deliver self-serve dashboards that reduce ad-hoc request volume by over 60%.
SQLPythondbtLooker
2018 — 2021
Data Analyst II • Palantir
Embedded with government and commercial clients to design and maintain operational data workflows in Palantir Foundry. Built datasets, transforms, and dashboards that surfaced mission-critical KPIs for logistics, supply chain, and fraud-detection use cases. Mentored junior analysts and authored internal best-practice documentation.
FoundryPySparkSQLTableau
Python
2016 — 2018
Data Analyst • Twilio
Built and maintained core product analytics for Twilio's messaging and voice platform. Partnered with growth and GTM teams to instrument funnel tracking, define activation metrics, and deliver weekly executive reporting. Introduced automated data-quality checks that cut erroneous dashboard figures by 40%.
SQLPythonAmplitudeRedshift
2014 — 2016
Analytics Intern • Cigna Health
Supported the healthcare analytics team in building claims-processing reports and member-utilization dashboards. Wrote SQL queries against large clinical datasets, assisted with ad-hoc analysis for actuarial teams, and helped automate recurring Excel-based reports into a Tableau environment.
SQLTableauExcelPython
Projects
2023 — 2024
PipelineGuard: Automated data quality monitoring for dbt projects.
PythondbtGreat ExpectationsOpen Source
2022 — 2023
QueryLens: Interactive SQL query explainer and optimizer.
SQLNode.jsReact
2021 — 2022
MetricDrift: Anomaly detection dashboard for streaming metrics.
PythonKafkaGrafana
Open to opportunities in New York, San Francisco, Remote, and
beyond
Copyright 2026 Jordan Callaway.