{"id":3184653,"url":"https://alion.io/job/good-inside-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":674687,"name":"Good Inside","domain":"goodinside.com","url":"https://alion.io/company/goodinside","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"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":185000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Braze","optional":true}],"status":"live","first_seen_at":"2026-10-23T18:53:15Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T07:41:50Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Who We Are\nGood Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community.\nOur mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families.\nWe’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change.\nThe Opportunity\nGood Inside is seeking aSenior Analytics Engineer to own the data foundation behind our product. You'll build the models, tracking, and pipelines that tell us how parents discover, adopt, and keep coming back to Good Inside, and you'll use them to answer Product's most important questions yourself.\nThis is a full stack role, weighted toward analytics engineering. You'll design production-grade dbt models for product events and subscription data, own our Amplitude instrumentation and tracking plans, and keep data fresh, tested, and trusted. Because you'll sit close to Product, you'll also turn that foundation into analysis, experiment readouts, and recommendations, using statistical methods when a question needs more than a dashboard.\nYou'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built.\nThis is a hybrid role based in Manhattan with three days onsite.\nWhat You’ll Own\nBuild the Product Data Foundation Design and maintain clean, modular dbt models for product events, engagement, and the member journey, from onboarding and activation through retention. Create well-documented transformations so Product trusts the numbers.\nBuild Tracking and Instrumentation Maintain our Amplitude event taxonomy and tracking plans. Partner with PMs and engineers so new features ship with the right events, and keep definitions consistent across app and web.\n Model Subscription Data Model the subscription lifecycle (trials, conversions, upgrades, churn, reactivations) and connect it to product behavior, aligned with Engineering and Finance.\nProtect Data Quality Set up testing, monitoring, and alerting. Catch inconsistencies early, improve freshness, and make sure teams aren’t waiting on or questioning the data.\nTurn Data into Product Decisions Answer Product’s highest-impact questions directly: funnel and cohort analysis, experiment readouts, and churn or propensity models when a question calls for it. Lead with a clear recommendation.\nEnable Self-Serve Build the semantic layer and dashboards in Omni and Amplitude so Product can answer routine questions without waiting on Data.\nPartner and Influence Work closely with Product, Engineering, and the Data Analytics team, weigh in on architecture decisions with downstream data impact, and mentor others on the team. Balance competing priorities without lowering the bar.\nYour Skills & Experience\n8+ years in analytics engineering, data engineering, or product analytics roles, with at least 2 supporting a product team\nDeep hands-on dbt experience in production\nExpert SQL and strong Python for modeling, pipelines, and analysis\nExperience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar)\nDeep experience with event-driven product data and Amplitude (or Mixpanel, Heap), including owning event taxonomy and tracking plans\nStrong understanding of subscription businesses: trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data\nA track record of analysis that changed what got built, plus solid grounding in experimentation and statistics\nExperience designing clean, modular, well-tested data models for analytics use\nProficient with Git and collaborative engineering workflows\nMake sound architectural decisions without heavy oversight, balancing speed with long-term maintainability\nEmbrace AI-assisted development tools to increase velocity while keeping a high bar for accuracy\nClear communicator who leads with a recommendation and thrives in fast-moving environments\nBonus Points\nDirect-to-consumer subscription experience, especially with app store and web purchase flows and the gaps between them\nData science experience: churn or propensity modeling, survival analysis, or causal inference\nPricing, packaging, or paywall experimentation\nMobile app analytics and attribution\nFamiliarity with Segment, Braze, and BI semantic layers (Omni a plus)\nExperience mentoring analysts or teaching stakeholders to self-serve\nWhat We Offer\nCompensation: Annual salary for this role will be $185k - $195k\nCompany Equity\nComprehensive benefits package\n401k + Company match\nTime off to recharge\nHybrid work environment\nA high-ownership, high-performance, high-collaboration culture\nEqual Employment Opportunity\nGood Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.\nWe are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the personbehind the job. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive-believing in and bringing out the good inside of everyone..\nIf you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.\nFor information about Good Inside's privacy practices, see our Privacy Policy. California applicants, please also see our CA Applicant Privacy Notice.","description_format":"text","description_chars":6332,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-23T23:08:13Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":30,"reasons":["conf:3","win:early"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":195000,"is_top_pay":true},"html_url":"https://alion.io/job/good-inside-senior-analytics-engineer","json_url":"https://alion.io/job/good-inside-senior-analytics-engineer.json","meta":{"generated_at":"2026-10-28T07:47:46Z","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":10006,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":674687},"rest":"https://alion.io/mcp/rest/get_company?id=674687"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgood-inside-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%2Fgood-inside-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%2Fgood-inside-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/good-inside-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgood-inside-senior-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3184653}},{"tool":"search_jobs","arguments":{"company":"goodinside.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3184653},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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