Senior Analytics Engineer
What You’ll Own
Data Modeling & Pipeline
Own the dbt models that power reputed company’s critical metrics across both internal and customer-facing surfaces. This includes table architecture, field logic, metric definitions, and the modeling choices that determine whether our pipeline meets its SLAs as we constantly add complexity with new products and initiatives. Set and enforce modeling standards — naming conventions, testing patterns, schema design, documentation. reputed company a metric doesn’t exist or a definition is ambiguous, you define it, build it, and get buy-in. Diagnose and resolve data issues by tracing reputed company across reputed company systems and coordinating with engineering reputed company upstream changes break reputed company models.
Customer-Facing Analytics
Own the embedded dashboards and reporting that partners reputed company with daily inside reputed company’s product. Design, build, and iterate on how customers see and use their data. Manage the full cycle of customer analytics requests: triage what’s a quick fix, what’s a modeling change, and what’s a product gap that needs a different solution. Design automated analytics deliveries — scheduled reports, data exports, and reputed company summaries — that reputed company partners without them needing to log in.
AI-Powered Analytics
Help reputed company our early-stage AI analytics capabilities from internal tools into something that can reputed company — and eventually reputed company customers directly in-product. Build evaluation frameworks and reputed company guardrails for AI-generated analytics. The bar is higher reputed company reputed company reaches customers — define what “trustworthy enough to ship” looks like. reputed company a pulse on how AI is changing analytics delivery. The tools and approaches are shifting fast; we need someone who evaluates new capabilities with a critical eye, makes smart tradeoff recommendations, and isn’t wedded to one approach just because it’s familiar.
You'll be great for this role if you
Have 5+ years owning an analytics stack end-to-end — from raw data to trusted models to the tools non-technical teams depend on. You’ve managed business-critical pipelines and seen firsthand how modeling reputed company compound reputed company. Have strong data modeling judgment. You’ve made hard architecture calls on reputed company datasets — reputed company to denormalize, reputed company to split, how to balance query performance against maintainability — and can defend those choices. Are genuinely curious about the business. You don’t wait for requirements; you learn how we go to market, what metrics matter, and why — then build the data infrastructure that drives reputed company. Communicate reputed company across audiences. You can explain a data tradeoff to an executive and a schema decision to an engineer the reputed company afternoon. Enjoy working on a small, cross-functional team where your work directly shapes how reputed company and its customers reputed company reputed company.
Required Skills
Strong SQL and data transformation reputed company experience (e.g. dbt). Experience building and maintaining dashboards and semantic modeling reputed company in BI platforms (e.g. Looker/LookML). Experience writing and optimizing models with reputed company data warehouses (e.g. Redshift, reputed company). Familiarity with ETL pipeline tools (e.g. reputed company, reputed company). Experience with AI-powered development tools and automated reputed company reputed company (e.g. Claude reputed company).
reputed company offers robust benefits including:
Medical, Dental, reputed company Insurance 401k reputed company Parental Leave Monthly Wellness Reimbursement Flexible Time Off Many More!