{"id":2429934,"url":"https://alion.io/job/ethos-staff-business-analyst","title":"Staff Business Analyst","company":{"id":6048,"name":"Ethos","domain":"ethos.com","url":"https://alion.io/company/ethos","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":127000,"max":223000,"currency":"USD","period":"year","gross":null,"usd_annual":223000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-03T00:21:55Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-26T07:42:45Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"About Ethos\nEthos (Nasdaq: $LIFE) 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.\nAbout the role\nThe 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.\nWe 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.\nWe 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.\nDuties and Responsibilities:\nInvestigate 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\nGo deep into attribution and underlying data layers to diagnose discrepancies, validate vendor claims, and evaluate new attribution or measurement vendors\nBuild models (e.g., response/lift models, allocation logic, simple regressions) to support offline and direct mail decision-making\nSupport the scaling of direct mail testing: manage multi-cell test mail merges and data pulls, dashboarding, and analysis to guide list selection and optimization\nDevelop easy-to-consume dashboards and frameworks to monitor and visualize KPIs\nCommunicate findings and insights to key stakeholders and influence channel managers to take action based on your recommendations\nQualifications & Skills:\nRequired:\n5+ years of experience in business intelligence, analytics, or data science at well-established firms or high-growth tech startups\n3+ years of experience building and maintaining BI reporting in a tool like Hex or Mode on a regular basis\n3+ years of experience working with SQL on a regular basis\nExperience building statistical or predictive models outside of pure dashboard work\nExperience working with Python for data analysis and model-building\nComfort working with ambiguous, incomplete, or conflicting data; attribution and vendor data are rarely clean\nStrong written and verbal communication skills; able to translate technical findings into recommendations non-technical stakeholders can act on\nA self-starter mentality, this role requires identifying problems and opportunities, not just executing on requests\nPreferred:\nExperience with experimentation and Bayesian measurement\nExperience with direct mail, offline, or other non-digital marketing channels\nExperience with dbt or maintaining data pipelines/marts\nFamiliarity with statistical techniques such as difference-in-difference, incrementality testing, and general linear models\n#LI-Remote #LI-MK1\nThe 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. \nPlease note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits. \nYou can find further details of our US benefits at https://www.ethoslife.com/careers/\nDon’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.\nWe 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.\nTo learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.\nRecruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.\n We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.","description_format":"text","description_chars":5556,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Life Insurance & Annuities","InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-13T08:40:14Z"}],"visa":[],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.474,"p_room":0.75,"age_days":53,"expected_fill_days":55,"reasons":["conf:2","stale_co","velocity","win:late"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":223000,"is_top_pay":true},"html_url":"https://alion.io/job/ethos-staff-business-analyst","json_url":"https://alion.io/job/ethos-staff-business-analyst.json","meta":{"generated_at":"2026-10-26T11:59:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16308,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6048},"rest":"https://alion.io/mcp/rest/get_company?id=6048"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fethos-staff-business-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fethos-staff-business-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fethos-staff-business-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ethos-staff-business-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fethos-staff-business-analyst"}]}