Remote Data Analyst, Go-To-Market

Summary

Join our CircleCI Data team as a Go-To-Market Analytics professional to lead reporting for customer-facing teams, uncover business questions, develop hypotheses, explore data, and deliver actionable insights. Collaborate with cross-functional teams, think in terms of overall customer engagement, retention, and growth, and improve analytics practice.

Requirements

• 2-3 years of data analytics experience
• 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. Intermediate statistics. Ability to quickly ramp up on scripting in a notebook environment, using Python and Pandas, GitHub, Snowflake, Mode, 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

Responsibilities

• Be an excellent analyst: Uncover business questions. Develop rational hypotheses around these questions. Explore data in clean and raw forms. Soundly use statistics. Make clear visualizations. Deliver actionable insights. Tell compelling data stories. Present to technical and executive audiences. Drive action and outcomes
• Support the Go-To-Market teams: Collaborate with customer success managers, sales leaders, field engineers, and account executives. Define and model business metrics. Analyze products, customers, and business outcomes. Uncover what drives process success
• Use a growth toolkit: Think in terms of overall customer engagement, retention, and growth. Support iterative cycles of build, measure, and learn. Educate partners on statistical validity
• Improve our analytics practice: Turn repetitive queries into dashboards. Improve team processes. Define requirements for better data. Improve data automation and analytics capabilities. Partner with senior data analysts and analytics engineers

Benefits

United States Base Pay Range $116,000 — $145,000 USD