[Hiring] Senior Analytics Engineer @Solv.

Role Description

You’ll be the senior technical owner of Solv’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-leverage team where you set the standards and own the outcomes.

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

Beyond the foundation, you’ll shape how Solv delivers analytics to customers. Today that’s embedded Looker dashboards. Tomorrow 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 bring it to customers. You’ll work directly with Solv’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 Solv’s critical metrics across both internal and customer-facing surfaces.
  • Set and enforce modeling standards — naming conventions, testing patterns, schema design, documentation.
  • Diagnose and resolve data issues by tracing lineage across source systems and coordinating with engineering.
• Customer-Facing Analytics
  • Own the embedded dashboards and reporting that partners interact with daily inside Solv’s product.
  • Manage the full cycle of customer analytics requests.
  • Design automated analytics deliveries — scheduled reports, data exports, and insight summaries.
• AI-Powered Analytics
  • Help evolve our early-stage AI analytics capabilities from internal tools into something that can scale.
  • Build evaluation frameworks and quality guardrails for AI-generated analytics.
  • Keep a pulse on how AI is changing analytics delivery.

Qualifications

• Have 5+ years owning an analytics stack end-to-end.
• Have strong data modeling judgment.
• Are genuinely curious about the business.
• Communicate clearly across audiences.
• Enjoy working on a small, cross-functional team.

Requirements

• Strong SQL and data transformation framework 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 cloud data warehouses (e.g. Redshift, Snowflake).
• Familiarity with ETL pipeline tools (e.g. Fivetran, Airbyte).
• Experience with AI-powered development tools and automated insight generation (e.g. Claude Code).

Benefits

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