Staff Business Analyst

Join the Ethos Marketing team, a centralized group of marketers, strategists, designers, storytellers, and makers. As a Staff Business Analyst, you will investigate channel performance, build models to support decision-making, and communicate findings to key stakeholders. This role requires a self-starter mentality, experience with SQL and Python, and strong communication skills. Enjoy comprehensive benefits, company equity, and generous leave programs.

• Investigate channel performance and business questions proactively, and go deep into attribution and underlying data layers to diagnose discrepancies.
• Build models (e.g., response/lift models, allocation logic, simple regressions) to support offline and direct mail decision-making.
• Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs, and communicate findings and insights to key stakeholders.

• Comfort working with ambiguous, incomplete, or conflicting data; attribution and vendor data are rarely clean
• A self-starter mentality, this role requires identifying problems and opportunities, not just executing on requests
• 3+ years of experience working with SQL on a regular basis
• 5+ years of experience in business intelligence, analytics, or data science at well-established firms or high-growth tech startups
• Experience working with Python for data analysis and model-building
• Experience building statistical or predictive models outside of pure dashboard work
• Strong written and verbal communication skills; able to translate technical findings into recommendations non-technical stakeholders can act on
• 3+ years of experience building and maintaining BI reporting in a tool like Hex or Mode on a regular basis
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway
• Experience with experimentation and Bayesian measurement
• Experience with direct mail, offline, or other non-digital marketing channels
• Experience with dbt or maintaining data pipelines/marts
• Familiarity with statistical techniques such as difference-in-difference, incrementality testing, and general linear models