Staff Business Analyst

Remote; San Francisco (CA); Remote; USD 127,000 - 223,000; Full time

Job summary

Ethos is seeking a sharp analytics professional to advance offline and direct mail marketing analytics and attribution at scale. You will go beyond dashboards to build models, stress-test assumptions, and surface actionable insights for business questions.

You will work at the intersection of business analytics and data science, developing tools to monitor KPIs and influence marketing decisions. Strong SQL, Python, and experience with Hex or Mode are required, with a preference for dbt and

Qualifications

• 5+ years in BI, analytics, or data science at established firms or high-growth tech startups.
• 3+ years building BI reports in Hex or Mode on a regular basis.
• 3+ years SQL experience.
• Experience building statistical or predictive models outside of pure dashboard work.
• Experience 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 actionable recommendations for non-technical stakeholders.
• A self-starter mentality; identify problems and opportunities, not just execute on requests.
• Preferred: experimentation and Bayesian measurement.
• Preferred: direct mail or non-digital marketing channels.
• Preferred: dbt or data pipelines/marts.
• Preferred: knowledge of statistical techniques like diff-in-diff and GLMs.

Responsibilities

• Investigate channel performance and business questions proactively.
• Go deep into attribution and data layers to diagnose discrepancies and evaluate vendors.
• Build models (e.g., response/lift models, allocation logic, simple regressions) to support offline and direct mail decisions.
• Support scaling of direct mail testing: multi-cell test mail merges, data pulls, dashboards, and analysis.
• Develop dashboards and frameworks to monitor and visualize KPIs.
• Communicate findings to stakeholders and influence channel managers to act on recommendations.

Skills

BI analytics experience

SQL

Python for data analysis

Statistical modeling

Communication skills

Self-starter mindset

Tools

Hex

Mode

dbt

Job description

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

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.

Duties and 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

Qualifications & Skills:

Required:

• 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

Preferred:

• 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

#LI-Remote #LI-MK1

The US national base salary range for this full-time position is $127,000 - $223,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

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. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.