{"id":1929560,"url":"https://alion.io/job/norm-ai-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":48153,"name":"Norm Ai","domain":"norm.ai","url":"https://alion.io/company/norm-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-05T19:23:11Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-12T07:25:20Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Norm Ai\nNorm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.\nNorm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.\nNorm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.\nAI Fluency:\nNorm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.\nCandidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.\nThis Role:\nThe Senior Analytics Engineer will own the analytics data products that our internal teams rely on to make decisions. You will turn prototypes and one-off analyses into trusted, production-grade models and metrics. That means reusable models, business-facing metrics, access controls, tests, documentation, and the guidance our Lightdash AI agents need to answer questions correctly.\nThis role reports directly to the Director of Data and works closely with the rest of the data team and with internal partners such as GTM and Finance. It is a hands-on role that combines modeling judgment with stakeholder discovery.\nWhat You'll Do:\nOwn analytics data products across internal business functions\n\nDesign and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash agent guidance\n\nTurn ideas into production data products by working with stakeholders to define requirements, validating the results, and publishing them\n\nReconcile concepts that differ across source systems, and publish mappings, unmatched records, assumptions, and quality checks so conflicts stay visible\n\nDeliver changes through the full production process, including SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions\n\nDiagnose incorrect or stale results across the data layers, and partner with data engineering when the cause sits below the serving layer\n\nReview modeling changes, pair with teammates, and help maintain shared standards\n\nWhat We're Looking For:\nCore Qualifications\n5+ years of analytics engineering or equivalent experience, including contribution to a production dbt project with tests, CI, incremental models, and documentation\n\nStrong dimensional modeling judgment: you can design conformed entities and facts at the correct grain, and make clear decisions when source systems use conflicting definitions\n\nExperience delivering a metrics or semantic layer used by both people and tools, with safe access controls for sensitive data\n\nFamiliarity with and regular use of AI coding agents. You verify their output and know when they are not the right tool\n\nStrong SQL skills and enough Python experience to understand existing pipelines and build transformation tasks\n\nClear technical writing. You treat model documentation and metric definitions as part of the data product\n\nNice to Haves\nExperience with Lightdash, or another semantic layer managed as code\n\nAWS knowledge and familiarity with tools like Athena, Iceberg, and Spark\n\nExperience with legal, private equity, or financial services data, including restricted or client-sensitive information\n\nExperience setting standards or mentoring on a small team\n\nCompensation and Benefits\nBase Salary: $175,000 to $215,000 per year\nThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills, experience, and relevant education or training.\nEquity: Included\nBenefits: 401(k) with employer match, health, dental, vision coverage, unlimited paid time off, free lunch in office daily, employee referral bonus program\nRelocation: Financial support to ease your move to New York City, designed to make the transition smooth and stress-free.\nWork Location\nLocation: New York City\nWork model: Hybrid\nIn-office expectation: 3-4 days per week\nTo learn more about Norm Ai, visit our website.","description_format":"text","description_chars":4820,"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"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["AI Agents","Financial AI","Legal AI"],"lifecycle":[{"event":"open","at":"2026-10-05T21:22:51Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":76,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":215000,"is_top_pay":true},"html_url":"https://alion.io/job/norm-ai-senior-analytics-engineer","json_url":"https://alion.io/job/norm-ai-senior-analytics-engineer.json","meta":{"generated_at":"2026-10-12T09:54:05Z","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":15158,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":48153},"rest":"https://alion.io/mcp/rest/get_company?id=48153"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnorm-ai-senior-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%2Fnorm-ai-senior-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%2Fnorm-ai-senior-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/norm-ai-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnorm-ai-senior-analytics-engineer"}]}