Senior Analytics Engineer

🔥 20 hours ago

🇺🇸 United States – Remote

💵 $115k - $130k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Prenuvo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

🧬 Biotechnology

💰 Debt Financing on 2022-10

Healthcare • Artificial Intelligence • Biotechnology

Prenuvo is a fast growing health tech company specializing in whole body diagnostic imaging. We are a global leader in whole body MRI screening with a track record of early detection of cancer and other major health diseases. In an era of reactive and fragmented health screening, Prenuvo is rooted in early detection through cutting-edge imaging technology. Our technology brings together comprehensive scans, AI-augmented analysis, and protocols that have been honed over years of research and practice. Together, Prenuvo’s scans offer unparalleled diagnostic accuracy for you and your doctor. We empower people to make informed decisions about their health by putting comprehensive, consistent, and detailed scans in your hands. Simply put, we offer you a window into your own body. Prenuvo is one of the first scans to use artificial intelligence to build consistent, reliable, and standardized reports for the radiologists interpreting your scans. We provide faster, easier access to the clinically-significant insights needed to make more informed health decisions. We do it to help people live longer, better, healthier lives. A more comprehensive picture of your body enables you to feel empowered and advocate for yourself.

📋 Description

• Drive implementation and evolution of enterprise analytical modeling standards, including domain boundaries, shared entities, dimensional design, and semantic layer architecture • Create standards for model design, testing, documentation, lineage, observability, access, code review, and release management • Guide the transition from one-off marts and dashboard-specific logic toward reusable, governed data products • Lead architecture reviews, guide system design, and co-own high-impact technical choices with data team members • Lead cross-domain design with Product, Engineering, Finance/Accounting, Clinical, Research, Growth/Marketing, and AI stakeholders • Define how trusted measures and dimensions are exposed across Sigma, analytical workflows, and governed AI experiences • Support data quality ownership by connecting business definitions, source system accountability, automated controls, and incident response • Execute and operationalize the enterprise data governance framework with Data leadership, translating organizational direction into standards, ownership models, quality controls, documentation, and adoption practices

🎯 Requirements

• At least 6 years of experience in analytics engineering, data engineering, data architecture, or a related discipline • Deep expertise in SQL, dbt, dimensional modeling, data warehouse design, and reusable analytical data product development • Hands-on experience designing semantic or metrics layers used across multiple analytical consumers • Strong knowledge of testing, observability, lineage, metadata, access controls, privacy-aware architecture, and software development lifecycle practices • Ability to lead architecture through influence, create clear technical decision records, and mentor experienced engineers • Experience balancing enterprise consistency with iterative delivery and domain-specific needs • Strong communication skills connecting technical choices to organizational risk, speed, cost, and business outcomes • Legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa • Background check required as part of the hiring process • Nice to have: Experience with Databricks, Fivetran, Sigma, dbt MetricFlow, or a comparable semantic layer platform • Nice to have: Experience with healthcare data in a regulated environment • Nice to have: Experience designing data contracts, domain-oriented data products, or a data governance operating model • Nice to have: Experience modernizing a growing analytical environment without disrupting critical reporting

🏖️ Benefits

• Positive impact on people's lives and their health • Free whole-body scans for each team member • Growth opportunities and flexible career paths • Weekly team connection, sharing, and socializing • Flexible vacation policy • Commuter Benefits Plan covering transit and parking costs • 401(k) plan for US employees with company contributions • Comprehensive health, dental, vision, and Mental Health coverage