Careers — Arthur Ventures
Sr Data Analyst, Growth & Operations at Keap
San Francisco, CA, US

80% of small businesses fail in their first 18 months. At Keap, we aim to change that. We don’t just say it, we work to help small businesses succeed every day. Our full commitment to this mission means there will be long days days and incredible challenges. We expect you to bring hustle, grit and passion to the table. You will need to take proactive ownership and improve yourself constantly in a high-intensity startup atmosphere. But the reward? You will learn. You will grow your skills. And most importantly -- you may just contribute to something larger than yourself.

Your Role and Impact

We are looking for an experienced Sr Data Analyst who can make an immediate impact on our Analytics team. At Keap, we don’t just expect our data analysts to just provide reporting and KPI tracking. We expect data analysts to fulfill three broad functions:

  1. Automate dashboards and reports with impressive SQL and data transformation skills
  2. Provide statistical analysis on business questions using tools like R and Python
  3. Most importantly -- work as a peer with business stakeholders and help them answer meaningful business questions using data


  • Write complex SQL queries to transform data at the data warehouse level -- yes, we expect our Analysts to create derived tables from raw table data
  • Help define KPIs and develop dashboards to track business questions and metrics across the company
  • Explore data to find actionable insights and make recommendations
  • Provide direct analytical support to help business stakeholders and leaders prioritize, execute, and analyze initiatives
  • Serve as a best-practices and implementation owner for AB tests and other controlled experiments
  • Perform ad-hoc statistical analysis (logistic regression, IV regression and quasi-experimental methods, and difference-of-means testing)


  • Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields (Graduate degree preferred but not required)
  • 3+ years of experience doing quantitative analysis for a technology company preferably in a Business Intelligence, Marketing Analytics, Customer Success Analytics or Data Science team
  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis
  • Experience with modern scalable data warehouses (BigQuery/Redshift/Hive/etc), BI tools (Looker) and enterprise sales/marketing automation tools (Salesforce/Marketo) is strongly preferred
  • Power user of analytical tools (Mixpanel, Optimizely, Google analytics, Python, etc)