{"id":2052158,"url":"https://alion.io/job/shepherd-analytics-engineer","title":"Analytics Engineer","company":{"id":6727,"name":"Shepherd","domain":"shepherdinsurance.com","url":"https://alion.io/company/shepherd","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":61,"open_postings":20,"ghost_share":0.65,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-07T21:35:31Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T02:07:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"What We Do\nYesterday's insurance wasn't built for today's risk. We see it in the data and we feel it in the field. Emerging technology can reinvent how risk is priced and managed, faster and smarter, anchored in proven expertise. First-movers will define the next era of commercial risk management, and Shepherd is building it.\nShepherd is a technology-driven Managing General Underwriter (MGU) transforming commercial Property & Casualty insurance for high-hazard industries. Our mission is to make risk frictionless for the builders and operators shaping the physical world, protecting progress from concept through construction and into decades of operation.\nWe're building the fastest, smartest commercial risk platform, where underwriting expertise, data, and automation work together to deliver:\nFaster decisions\n\nSmarter, more accurate pricing\n\nBetter risk outcomes\n\nWith Shepherd, safety, speed, and quality no longer trade off against one another. They compound. We're not just modernizing insurance products. We're building the risk infrastructure for the next generation of financial services, where technology, underwriting, and partnerships operate in harmony to support the world's most important industries and the progress they make possible.\nOur Investors\nIn March 2026, Shepherd raised a $42M Series B - bringing total funding to over $60M - led by Intact Private Capital, the investment arm of one of the largest insurers in the world. Intact is not only our lead investor but also a carrier partner, a testament to the confidence the incumbent industry has in what we're building. Our investors:\nIntact Private Capital, led our Series B round\n\nCostanoa Ventures, led our Series A round\n\nSpark Capital, led our Seed round\n\nSusa Ventures, lead our Pre-Seed round\n\nY Combinator\n\nAnd several others\n\nOur Team\nWe're a team of technologists and insurance enthusiasts, bridging the two worlds together. Check out our About page to learn more.\nAnalytics Engineer\nThe Mission: Build Shepherd’s Trusted Data Foundation\nAs Shepherd grows, more teams, products, and automated systems will depend on data to make decisions. Our challenge is no longer simply getting data into the warehouse. It is turning that data into consistent, trusted representations of Shepherd’s business that can be reused across actuarial, reporting, product workflows, and AI-assisted tools.\nYou will build and own Shepherd’s canonical analytical layer: the shared entities, facts, dimensions, definitions, and business rules that allow those consumers to work from the same foundation. Your work will make it possible for Shepherd to answer important questions consistently, build new analytical products faster, and make AI-assisted analysis more reliable by grounding it in shared business definitions.\nThe Role\nYou will be Shepherd’s first dedicated Analytics Engineer and will report directly to the Data Lead. This is a high-ownership role for someone who can combine dimensional modeling and engineering discipline with the domain discovery and cross-functional collaboration required to establish trusted sources of truth.\nYou will work directly with Actuarial, reporting, operations, engineering, and other data consumers to understand how important business concepts are represented today. You will identify what should be standardized, where legitimate domain differences must remain, and how those decisions should be implemented, tested, documented, and adopted.\nBuilding on an existing warehouse, dbt project, and body of analytical work to establish Shepherd’s canonical analytical layer. While working with domain experts across the company, you’ll determine which business concepts to model first and lead their design, implementation, and adoption.\nThis is a data-modeling and platform-ownership role, not an ad hoc analysis or dashboard building position.\nWhat You’ll Do\nDesign, build, and own canonical data models for Shepherd’s core business entities and processes.\n\nPartner with domain experts to translate insurance and operational knowledge into explicit facts, dimensions, grains, relationships, and business rules.\n\nIdentify what should be shared across Actuarial, reporting, and other consumers while preserving clearly defined domain variants where requirements differ.\n\nEstablish the testing, reconciliation, documentation, lineage, ownership, and development practices that make analytical models trustworthy and maintainable.\n\nEvaluate existing models, reports, and actuarial datasets, then lead consumers through migration to reliable, performant shared foundations.\n\nShape the semantic context that helps people and AI-assisted tools use Shepherd’s data correctly, while keeping models coherent as source systems and platform architecture evolve.\n\nCollaborate with the Data Lead and platform engineers to keep analytical models coherent as source systems and platform architecture evolve.\n\nWho You Are\nRequired\nStrong SQL skills and hands-on experience developing production data models with dbt.\n\nDeep experience with dimensional modeling, including defining model grain, facts, dimensions, historical state, and relationships between business entities.\n\nYou have owned important analytical models beyond their initial implementation, including validation, documentation, maintenance, and consumer adoption.\n\nYou are comfortable learning an unfamiliar domain directly from subject-matter experts and translating incomplete or conflicting requirements into durable technical designs.\n\nYou can lead cross-functional migrations and earn adoption rather than treating model deployment as the end of the work.\n\nYou bring sound engineering judgment to analytical systems and value tested, understandable, reusable models over one-off outputs.\n\nYou are comfortable operating with ambiguity and taking ownership of a problem whose solution has not already been designed.\n\nNice to Have\nExperience in insurance, financial services, or another domain where definitions, historical state, and data quality have material business consequences.\n\nFamiliarity with semantic layers, data catalogs, metric definitions, or AI-assisted analytics.\n\nExperience establishing analytics-engineering practices in a growing or relatively early-stage data organization.\n\nFamiliarity with Python, Dagster, data ingestion pipelines, and modern software-engineering and CI/CD practices.\n\nHow we work\nShepherd runs on four values. Here's what each one means in this seat.\nThink big, build big. We exist to protect progress and the industries that rely on it. The work here is aimed at a system that runs on its own, and the roadmap gets sequenced backward from that rather than forward from what's easy.\n\nWin together. We rise as one. We support each other, raise the bar, and celebrate collective success. As the first PM you set a standard the rest of the team inherits, and the milestones belong to the team rather than to product.\n\nCross the aisle. Collaboration wins. We listen deeply, work across boundaries, and prioritize shared success over individual lanes. The best product calls here come from engineers who've sat with underwriters and underwriters who understand where the model breaks, and much of this job is listening closely enough on both sides to make that happen.\n\nGo get it. We act with urgency, move with confidence, take smart risks, and push forward with intention. Nobody hands you the roadmap, the data, or the meeting invite. You pull the failing runs, book the time with the underwriters, and decide what matters.\n\nBenefits\nPremium Healthcare\n100% contribution to top-tier health, dental, and vision\nFertility benefits and family building support\nUnlimited PTO\nFlexibility to take the time off, recharge, and perform\nDaily lunches, dinners, and snacks\nWe work together, and enjoy meals together too\nSF, NYC, Dallas-Fort Worth, Chicago and LA Offices\nProfessional Development\nAccess to premium coaching, including leadership development\nCompetitive 401(k) Plan\nDog-friendly office\nPlenty of dogs to play with and make friends with in the SF office","description_format":"text","description_chars":8062,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-07T22:11:59Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":34,"reasons":["conf:0","stale_co","win:early"],"computed_at":"2026-10-08T05:49:30Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":true},"html_url":"https://alion.io/job/shepherd-analytics-engineer","json_url":"https://alion.io/job/shepherd-analytics-engineer.json","meta":{"generated_at":"2026-10-09T04:38:25Z","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","counted_by":"address","units_charged":1,"used_today":4367,"day_limit":5000,"remaining_today":633,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":6727},"rest":"https://alion.io/mcp/rest/get_company?id=6727"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fshepherd-analytics-engineer"},{"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%2Fshepherd-analytics-engineer"},{"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%2Fshepherd-analytics-engineer"},{"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/shepherd-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fshepherd-analytics-engineer"}]}