Analyze data to find actionable insights that lead to great business decisions
Collaborate with key stakeholders to translate business questions into verifiable hypotheses using complex, multi-source data
Build dashboards and custom reports to track key metrics, empower other team members with data, and investigate business questions
Execute deep-dive analyses addressing key business issues and present findings to stakeholders
Demonstrate great judgment in quickly forming actionable, data-driven conclusions in the face of uncertainty
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Play an active role in strategic operational planning discussions
What We Are Looking For:
Bachelors degree in Computer Science, Statistics, Engineering, Business, or related discipline
3 years relevant experience in financial/business analysis and experience analyzing large datasets to solve business problems and presenting results
Proven analytical and quantitative skills with an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
Knowledge of fundamental statistical concepts for data analysis
Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications
Ability to dive deeply into data integrity issues
Experience working directly in the SaaS space, bonus to have experience working with Customer Success, Product, and Engineering teams
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with a modern BI stack with tools such as Looker, Snowflake, Tableau, Alteryx, etc.
Experience with Microsoft Office/Google Suite
Experience with SQL
Excellent communication (verbal and written) and interpersonal skills, able to communicate effectively with both business and technical teams