{"id":1294169,"url":"https://alion.io/job/ai-powered-platform-that-helps-ab-analytics-engineer","title":"Analytics Engineer","company":{"id":2087993,"name":"AI-powered platform that helps AB","domain":"hipp.health","url":"https://alion.io/company/hipp-health","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":139000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":112},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true},{"name":"SAS","optional":true}],"status":"live","first_seen_at":"2026-08-19T18:59:54Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-05T00:44:44Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"About Hipp\nHipp is an AI-native healthcare platform built to modernize operations for non-hospital healthcare providers. We partner closely with ABA, behavioral health, and therapy organizations to streamline clinical workflows, billing, and revenue cycle operations - so providers can focus on delivering care.\nOur platform combines EMR, billing infrastructure, and operational workflows with AI-driven automation, helping providers run more efficient practices and improve patient outcomes.\nWe’re building the next generation of healthcare infrastructure and are looking for thoughtful, product-minded engineers who want to build real systems, move quickly, and take ownership in a fast-moving startup environment.\nRole Overview\nWe are seeking an experienced and highly motivated Analytics Engineer to join Hipp Health. This person will drive the creation, maintenance, and improvements of our entire data platform underlying our ML and AI efforts. They will also ideate, create, and refine the data modeling that our clients rely on every day to drive their operations and use to inform their strategic decisions. This role requires a strong background in data visualization, SQL, and data analysis. This person will collaborate with Product Managers and Data Scientists to architect scalable schemas and maintain high standards for warehouse integrity and precision. Experience within the health sector is a significant advantage.\nKey Responsibilities\nContribute to the continuous improvement of our data infrastructure and BI processes.\n\nDrive the continued evolution and optimization of our analytics data platform.\n\nDevelop, maintain, and manage dynamic dashboards and reports using data visualization tools.\n\nWrite complex SQL queries to extract, manipulate, and analyze data from various sources.\n\nPerform in-depth data analysis to identify trends, patterns, and root causes, and present findings clearly to stakeholders.\n\nCollaborate with cross-functional teams to understand business requirements and translate them into technical specifications.\n\nMonitor data quality and integrity, ensuring accuracy and reliability of reports.\n\nProduct analytics: understand, analyze usage and use insights to drive data-driven product strategy\n\nRequired Qualifications\nExperience\nMinimum of 3+ years of professional experience in Analytics Engineering, Data Engineering, or Data Analytics, with a focus on building production-ready data pipelines and models.\n\nTechnical Skills\nData Pipelines: Experience with building and maintaining data warehouses for ETL, operational analyses, stakeholder reporting, etc.\n\nData Engineering: Experience with orchestration layer (e.g., Airflow, Prefect), data governance, OLAP database, schema design, query optimization\n\nProficiency with Git workflows (branching, pull requests, code reviews) to manage data transformation code.\n\nData Visualization: Proven expertise in a major BI tool (e.g., Omni, Tableau, Power BI, Looker) for creating compelling reports and dashboards.\n\nSQL Expertise: Advanced skill in writing complex SQL queries for data extraction and analysis, especially in the context of DBT projects.\n\nData Analysis: Strong analytical and problem-solving skills with the ability to interpret large datasets and provide data-driven recommendations.\n\nExperience with software development best practices (CI/CD, unit testing, documentation, modular coding).\n\nSoft Skills\nExcellent communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences.\n\nDetail-oriented with a commitment to producing high-quality, accurate work.\n\nAbility to manage multiple priorities and meet deadlines in a fast-paced environment.\n\nPreferred Qualifications\nExperience working in the health industry or with healthcare-related data (e.g., patient data, clinical trials, operational metrics).\n\nHands-on experience with a programming language outside of SQL or SAS, especially Python or R\n\nDeep experience with DBT\n\nWhy Join Hipp\nBuild real production systems used by healthcare providers every day\n\nJoin Hipp’s early engineering team and help shape the architecture, systems, and product foundations of the company\n\nWork at the intersection of AI, healthcare infrastructure, billing, and modern software systems\n\nOwn meaningful product and technical problems with a high degree of autonomy\n\nMove quickly, ship often, and have a direct impact on how the company and product evolve\n\nHelp modernize healthcare operations for providers delivering critical care to patients","description_format":"text","description_chars":4540,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-09-26T08:48:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.687,"p_room":0.45,"age_days":45,"expected_fill_days":29,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ai-powered-platform-that-helps-ab-analytics-engineer","json_url":"https://alion.io/job/ai-powered-platform-that-helps-ab-analytics-engineer.json","meta":{"generated_at":"2026-10-05T02:53:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3981,"day_limit":5000,"remaining_today":1019,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}