Job Opportunities API

This role is 100% remote, and can be based anywhere on the West Coast of the USA up to and including Mountain Time. At Buildkite, our mission is to unblock every developer on the planet. We’ve rethought how software delivery should work and have built a platform that is fast, reliable, secure, and able to scale to the needs of the most demanding high-growth tech companies globally including Airbnb, Shopify, Canva, PagerDuty, Lyft, and Pinterest. Job Overview We're hiring a Product Data Analyst to help answer the questions that matter most to Buildkite's growth. This role will work directly with Product, Engineering, Marketing, Finance and Sales leadership to turn data into insights and decisions.  This is a high-impact role for someone who's comfortable going deep on data but equally comfortable presenting findings to non-technical stakeholders and influencing product strategy. 🔧 About the Team The Data team maintains the data layers which other teams use to build our products. We are a dynamic team responsible for data infrastructure and pipelines, query engines, and surfacing insights to all functions of Buildkite. 🚀 What You’ll Do Partner with product managers to define metrics, success criteria, and instrumentation requirements for customer onboarding and engagement, new features, and experiments Collaborate with Data team colleagues to build and evolve data models, and ensure they are optimised for self service querying Build and maintain dashboards and reports that give the team clear, reliable visibility into product health and user behaviour Conduct ad hoc analysis to answer specific product questions – conversion funnels, retention curves, feature adoption, cohort behaviour, and more Design and analyse A/B tests and feature experiments, from hypothesis through to recommendation Identify trends, anomalies, and opportunities in product data that the team wouldn't otherwise see Work with engineering to ensure event tracking and data pipelines are instrumented correctly and completely Translate analytical findings into clear narratives and actionable recommendations for a range of audiences Get involved in customer research and feedback loops to understand product needs Stay curious and continually improve your technical skills and knowledge 🎨 Skills & Experience We Value Core Skills : Good communication skills, with empathy and kindness when collaborating with others Understanding of technical trade-offs and willingness to learn from peers when making decisions Familiarity with modern development workflows, CI/CD concepts, and developer tooling Comfortable working in a distributed, remote-first team environment Growth mindset, willingness to learn from feedback, collaboration, and mentoring opportunities Experience : 2–4 years of experience in a data analyst, product analyst, or similar role, ideally at a SaaS company Strong SQL skills – you should be comfortable writing complex queries across large datasets Experience with a BI or visualisation tool such as Metabase , Looker, Tableau, or similar Experience with product analytics platforms like Posthog, Mixpanel, or Google Analytics Solid understanding of product analytics concepts: funnels, retention, LTV, activation, churn, and engagement metrics Familiarity with experimentation methodology – statistical significance, confidence intervals, experiment design A genuine curiosity about product – you want to understand why users behave the way they do, not just what they're doing Nice to have : Experience with Python, R and Jupyter notebooks for analysis and data manipulation Experience with AI for data analytics Experience designing and training machine learning models Familiarity with data warehouse environments (Athena, Clickhouse, dbt, Iceberg, Snowflake, Databricks) Familiarity with event streaming and processing (Kafka, Flink, PyS