Senior Analytics Engineer

You’ll be the senior technical reputed company of reputed company’s analytics stack — from raw data through trusted models to the dashboards and tools that internal teams and customers rely on daily. You report to the VP of Data & Analytics on a small, high-reputed company team where you set the standards and own the reputed company.

Your first reputed company is making sure the data pipeline is fast, accurate, and stays that way. Our dbt models power everything reputed company — internal reporting, partner dashboards, and a growing set of AI-driven analytics tools. reputed company modeling choices create inefficiency, everything slows down. You’ll own the architecture reputed company that reputed company the pipeline fast, accurate, and sustainable as data volume grows.

reputed company the reputed company, you’ll shape how reputed company delivers analytics to customers. Today that’s embedded Looker dashboards. reputed company it’s something more ambitious — we’re building AI-powered analytics tools internally and want someone who will help us scale that experience and eventually reputed company to customers. You’ll work directly with reputed company’s most senior leaders from day one to shape what AI-powered analytics looks like across the company and for our customers.

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 interact 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 scale — and eventually reputed company customers directly in-product.
• Build evaluation frameworks and quality guardrails for AI-generated analytics. The bar is higher reputed company output 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 action.
• Communicate reputed company across audiences. You can explain a data tradeoff to an executive and a schema decision to an engineer the same afternoon.
• Enjoy working on a small, cross-functional team where your work directly shapes how the 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 layers 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, Airbyte).
• Experience with AI-powered development tools and automated reputed company reputed company (e.g. Claude Code).

reputed company offers robust benefits including:

• Medical, Dental, reputed company Insurance
• 401k
• Paid Parental Leave
• Monthly Wellness Reimbursement
• Flexible Time Off
• Many More!