Staff Business Analyst

Ethos Life; New York (NY); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan

Company equity

Paid time off & holidays

Leave programs for new parents

Job summary

Ethos Life is seeking a sharp analyst to go beyond dashboards, digging into attribution methodology, data layers, and vendor models for offline and direct mail channels. You’ll build models, stress-test assumptions, and surface answers before questions are asked.

You’ll work at the intersection of business analytics and data science, developing frameworks, dashboards, and actionable insights to guide marketing decisions across product groups.

Qualifications

• 3+ years of experience with SQL on a regular basis.
• 5+ years in business intelligence, analytics, or data science at firms or startups.
• Experience with Python for data analysis and model-building.
• Experience building statistical or predictive models beyond dashboards.
• Strong written and verbal communication to translate findings for non-technical stakeholders.
• Experience with experimentation and Bayesian measurement.
• Familiarity with direct mail, offline, or non-digital marketing channels.
• Knowledge of data pipelines/marts and data reliability considerations.
• Comfort with ambiguous or incomplete data and attribution challenges.

Responsibilities

• Investigate offline and direct mail channel performance and attribution models.
• Build models to support decision-making on testing roadmaps and vendor claims.
• Develop dashboards and frameworks to monitor KPIs for stakeholders.
• Describe findings clearly and influence channel managers to act on recommendations.
• Scale direct mail testing, multi-cell mail merges, and data pulls.

Skills

SQL

Python

Data modeling

Statistical modeling

Experimentation

Attribution analysis

Communicating insights

Bayesian methods

Data visualization

Tools

Hex

Mode

dbt

Job description

• The Ethos Marketing team is a centralized, multi-disciplinary group of marketers, strategists, designers, storytellers, and makers who work across product groups and functions. We are designing the future and the today of the Ethos brand through every interaction within and outside of the product
• We are looking for a sharp, curious analyst who can go beyond dashboards and reporting to genuinely investigate how our offline and direct mail channels perform digging into attribution methodology, data layers, and vendor models rather than just consuming their output
• This role sits at the intersection of business analytics and data science: you’ll be trusted to build models, stress-test vendor and attribution assumptions, and proactively surface answers to business questions before anyone has to ask
• We need someone who can pick up real modeling and investigative work, not just BI support, to help the team keep pace with a growing offline and direct mail testing roadmap
• 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

Benefits

• Comprehensive benefits packages: Awesome medical dental, vision and as applicable insurance coverage and retirement plans (in the US we offer a 401(k) plan).
• Company Equity: We want you to feel and act like an owner.
• Rest, relax & recharge: We encourage our employees to take time off, in addition to our fully paid global company holiday schedule. When you need time away from work, we have paid and flex time options based on your role and location, and additional paid leave programs.
• Generous leave programs: As well as offering a wide array of leave programs, new parents can take leave with 100% wage replacement. Our healthcare plans offer coverage on family planning and fertility.

Comfort working with ambiguous, incomplete, or conflicting data; attribution and vendor data are rarely cleanA self-starter mentality, this role requires identifying problems and opportunities, not just executing on requests3+ years of experience working with SQL on a regular basis5+ years of experience in business intelligence, analytics, or data science at well-established firms or high-growth tech startupsExperience working with Python for data analysis and model-buildingExperience building statistical or predictive models outside of pure dashboard workStrong written and verbal communication skills; able to translate technical findings into recommendations non-technical stakeholders can act on3+ years of experience building and maintaining BI reporting in a tool like Hex or Mode on a regular basisExperience with experimentation and Bayesian measurementExperience with direct mail, offline, or other non-digital marketing channelsExperience with dbt or maintaining data pipelines/martsFamiliarity with statistical techniques such as difference-in-difference, incrementality testing, and general linear models