Data Scientist, Analytics
Skills
Amazon RedshiftBusiness IntelligenceData WarehousingDecision SupportHealthcareMarketing AnalyticsModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience using data to answer business questions and influence decisions
- Strong SQL skills and experience with dbt or similar data-transformation tools
- Experience building analytical data models and communicating insights through BI or visualization tools
- Working knowledge of Python for analysis automation or statistical modeling
- Strong stakeholder partnership communication and judgment balancing speed rigor and maintainability
Nice to have
- Growth analytics
- Marketing analytics
- Geo experiments
- Quasi-experimental studies
- Statistical modeling
- Internal tools
- Healthcare domain
- Fintech domain
Day to day
- Partner with stakeholders across Product GTM Finance and Operations to turn ambiguous questions into clear analytical approaches and recommendations
- Analyze product customer funnel marketing and financial data to explain performance and identify opportunities
- Own go-to-market measurement by building trusted metrics that connect attribution CRM and product usage data
- Build and maintain dbt models metrics dashboards and analytical tools the company runs on
- Improve data quality and enable self-serve analytics through testing monitoring documentation and better data products
Hiring process
- Initial conversation with a recruiter
- Conversation with the hiring manager and a lightweight Python coding exercise
- Take-home analytics exercise
- Review of your work with a data modeling and metrics exercise and discussion with cross-functional partners
- Final conversation with engineering and company leadership