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Data Analyst

2 hours, 21 minutes ago
United States
Full-time
Junior
Data Analyst
Data Science and Analytics
Apache Spark CI/CD ClickHouse Databricks dbt Flink Google Analytics Kafka Looker Machine Learning Metabase Mixpanel Python R Snowflake SQL Tableau
Apply Now
Buildkite

Buildkite

Buildkite: Powerful CI/CD platform for fast, secure, and scalable pipelines on your own infrastructure, offering flexibility, security, and data-driven insights.

Commercial Services & Supplies
51-250
Founded 2014
$41M raised
View All Jobs 15

Description

  • Partner with product managers to define metrics, success criteria, and instrumentation requirements for onboarding, engagement, new features, and experiments.
  • Collaborate with the Data team to build and evolve data models optimized for self-service querying.
  • Build and maintain dashboards and reports that provide visibility into product health and user behaviour.
  • Conduct ad hoc analysis on funnels, retention, feature adoption, cohort behaviour, and other product questions.
  • Design and analyze A/B tests and feature experiments from hypothesis to recommendation.
  • Identify trends, anomalies, and opportunities in product data.
  • 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 different audiences.
  • Participate in customer research and feedback loops to better understand product needs.

Requirements

  • 2–4 years of experience in a data analyst, product analyst, or similar role, ideally at a SaaS company.
  • Strong SQL skills and comfort writing complex queries across large datasets.
  • Experience with a BI or visualization tool such as Metabase, Looker, Tableau, or similar.
  • Experience with product analytics platforms such as Posthog, Mixpanel, or Google Analytics.
  • Solid understanding of product analytics concepts including funnels, retention, LTV, activation, churn, and engagement metrics.
  • Familiarity with experimentation methodology, including statistical significance, confidence intervals, and experiment design.
  • Good communication skills with empathy and kindness when collaborating with others.
  • Comfort working in a distributed, remote-first team environment.
  • Familiarity with modern development workflows, CI/CD concepts, and developer tooling.
  • Preferred: experience with Python, R, and Jupyter notebooks for analysis and data manipulation.
  • Preferred: experience with AI for data analytics or designing and training machine learning models.
  • Preferred: familiarity with data warehouse environments such as Athena, Clickhouse, dbt, Iceberg, Snowflake, or Databricks.
  • Preferred: familiarity with event streaming and processing tools such as Kafka, Flink, PySpark, or Airbyte.

Benefits

  • Competitive compensation including salary, equity, and a benefits package.
  • Flexible, remote-first culture.
  • Opportunities for growth, mentoring, and career development.
  • Collaborate with talented, supportive engineers solving meaningful problems.
  • Collaborative, inclusive, and innovative culture where ideas can make a real impact.
  • Reasonable accommodations and support during the recruitment process for candidates who need them.

Interested in this position?

Apply directly on the company website

Apply Now

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