Salary 💰 $103,000 - $173,000 per year
Tech Stack Amazon Redshift ETL SQL Tableau
About the role Build, maintain, and improve ARR analysis models and dashboards Create and maintain dashboards to monitor KPIs Develop and automate repeatable reporting processes Ensure consistency of ARR definitions and metrics Partner with Financial Business Systems to streamline data sources Collaborate with FP&A team to support ARR forecasting Support ad hoc analysis and scenario modeling Requirements Experience in Financial Planning & Analysis (FP&A), Business Intelligence, Revenue Operations, or similar role in SaaS or high-growth environment Familiarity with SaaS metrics (ARR, Gross and Net Retention Rates, Renewal Rate, churn, CAC, LTV, etc.) Proficiency with BI and visualization tools (e.g., Tableau, Power BI, Looker) Proficiency writing and optimizing SQL queries for data extraction and manipulation Experience with data warehouse platforms (e.g., Snowflake, Redshift, or Fabric) and ETL and data prep tools preferred Advanced Excel skills for financial modeling and data analysis Proven ability to translate complex datasets into actionable business insights High attention to detail and strong analytical thinking Bachelor’s degree in Finance, Business, Economics, Data Analytics, or related field. Advanced degree or certification is a plus. Remote-first working model Employee-led diversity and inclusion networks Annual charity and fundraising initiatives Global employee sustainability initiatives Global fitness and trivia competitions Global wellbeing days Monthly wellbeing webinars and training Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills ARR analysis KPI monitoring reporting processes SaaS metrics SQL queries data warehouse ETL tools financial modeling data analysis data visualization
Soft skills analytical thinking attention to detail collaboration communication problem-solving
Certifications Bachelor’s degree in Finance Bachelor’s degree in Business Bachelor’s degree in Economics Bachelor’s degree in Data Analytics Advanced degree or certification