Product Data Analyst

Buildkite

1d • Remote

About The Position

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. 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.

Requirements

• 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
• 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 Haves

• 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, PySpark, Airbyte)

Responsibilities

• 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

Benefits

• Competitive compensation, including salary, equity, and benefits package
• Flexible, remote-first culture
• Opportunities for growth, mentoring, and career development
• Collaborate with talented, supportive engineers solving meaningful problems
• A collaborative, inclusive, and innovative culture where your ideas make a real impact

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed