Senior Data Analyst, Product

Remote (US), San Francisco

About Product Analytics at CircleCI

In this role, you are a member of the Data Science and Analytics team. We are a dozen analysts and data scientists in CircleCI's product organization. We help product teams make data-driven decisions, deliver measurable improvements to our products, and ship innovative data products.  Each data analyst and data scientist supports one or more product teams.  You lead all things data for your product team!

What you’ll do:

• Be an excellent analyst: Uncover business questions. Develop rational hypotheses around these questions. Write research plans. Explore data in clean and raw forms. Soundly use statistics. Make clear visualizations. Uncover insights. Tell compelling data stories. Present to technical and executive audiences. Drive action and outcomes.
• Support a product team: Collaborate with product managers, product leaders, designers, and engineers. Define, root cause, and forecast product metrics. Analyze products, customers, and business outcomes.  Uncover what drives process success.  
• Use a growth toolkit: Think in terms of product activation, engagement, retention, and growth. Support iterative cycles of build, measure, and learn. Design, interpret and support product experiments and A/B tests.  Educate partners on statistical validity. 
• Improve our analytics practice: Turn repetitive analyses into dashboards.  Improve team processes.   Build data pipelines and tables. Define requirements for better data. Improve data automation and analytics capabilities. Partner with data and analytics engineers.

What we're looking for

• Two to five years of product analytics: Successful candidates typically have from two to five years supporting product, growth, or marketing as a dedicated analyst. Typically, that experience is at a high-growth company with a well-defined product funnel. Often, candidates have an additional few years supporting other functions as a data analyst or in BI-, reporting-, or analytics-engineering roles. Experience with experimentation methodologies (A/B, MVT) is a plus.
• Technical education: A bachelor’s degree in a technical or quantitative field (e.g., Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, etc.). Bonus for a similar Master’s degree or a data science bootcamp.
• Proficiency across analytics tools: Analytical SQL. Scripting in a notebook environment, using Python and Pandas. Intermediate statistics. Basic data science. Ability to quickly ramp up on GitHub, Snowflake, Looker, Amplitude, Segment, Optimizely, Airflow, DBT, and others.
• Right soft skills: Effective communicator across technical and business audiences. Curious; confident; open to questioning assumptions and being questioned. An incremental worker, able to balance vision and execution, and not easily discouraged.

You can work remotely anywhere in North America! You also have the option to work out of our San Francisco, Denver, Boston, or Toronto offices, once they reopen. CircleCI is a distributed company with team members across 50+ cities and 13 countries.

About CircleCI

CircleCI is the world’s largest shared continuous integration and continuous delivery (CI/CD) platform, and the central hub where code moves from idea to delivery. As one of the most-used DevOps tools that process more than one million builds a day, CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, Stitch Fix, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster. 

Founded in 2011 and headquartered in San Francisco with a global remote workforce, CircleCI is venture-backed by Scale Venture Partners, Threshold Ventures (formerly DFJ), Baseline Ventures, Top Tier Capital, Industry Ventures, Heavybit, Harrison Metal Capital, Owl Rock Capital Partners, and NextEquity Partners.

CircleCI is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.