Staff Business Analyst

Ethos is a life insurance technology company. The Staff Business Analyst investigates offline and direct mail channel performance, builds models and measurement frameworks, and communicates actionable insights to stakeholders.

Responsibilities:

• Investigate channel performance and business questions proactively, don't wait for a ticket to identify what's off, what's an opportunity, or what needs a deeper look
• Go deep into attribution and underlying data layers to diagnose discrepancies, validate vendor claims, and evaluate new attribution or measurement vendors
• Build models (e.g., response/lift models, allocation logic, simple regressions) to support offline and direct mail decision-making
• Support the scaling of direct mail testing: manage multi-cell test mail merges and data pulls, dashboarding, and analysis to guide list selection and optimization
• Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs
• Communicate findings and insights to key stakeholders and influence channel managers to take action based on your recommendations

Requirements:

• 5+ years of experience in business intelligence, analytics, or data science at well-established firms or high-growth tech startups
• 3+ years of experience building and maintaining BI reporting in a tool like Hex or Mode on a regular basis
• 3+ years of experience working with SQL on a regular basis
• Experience building statistical or predictive models outside of pure dashboard work
• Experience working with Python for data analysis and model-building
• Comfort working with ambiguous, incomplete, or conflicting data; attribution and vendor data are rarely clean
• Strong written and verbal communication skills; able to translate technical findings into recommendations non-technical stakeholders can act on
• A self-starter mentality, this role requires identifying problems and opportunities, not just executing on requests
• 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