Senior Analytics Engineer

Vizcom; San Francisco (CA); On-site; USD 180,000 - 208,000; Full time

Benefits offered by this job

100% employer-sponsored medical care

Dental, Vision, and Mental Health Care

Equity

Flexible PTO

401(k) with payroll match

Generous annual Learning & Development allowance

Paid parental leave

Weekly catered lunch at Headquarters

Job summary

Vizcom is seeking a Senior Analytics Engineer to join its growing data team in San Francisco. In this hybrid role, you'll design data pipelines, build dashboards, and run analyses that influence pricing and growth strategies.

The ideal candidate has 5–7 years of analytics experience, fluent in SQL, and hands-on with BigQuery. Benefits include 100% employer-sponsored medical care and flexible PTO.

Qualifications

• 5–7 years of experience in analytics or analytics engineering.
• Experience driving business decisions through dashboards.
• Hands-on experience with cloud warehouse technology.

Responsibilities

• Partner with various teams to define key metrics.
• Own analysis from data modeling to ongoing monitoring.
• Design and maintain data pipelines for analytics.

Skills

SQL

BigQuery

Python

TypeScript

Semantic modeling

Stakeholder communication

Job description

Senior Analytics Engineer

Location: San Francisco, CA (Hybrid Role)

The Role

As our Senior Analytics Engineer, you’ll be the second hire on the data team, working alongside the Head of Data as the primary data partner to Product, Finance, Marketing, and Sales. You’ll design pipelines and semantic models in BigQuery and Omni, build dashboards, run analyses that shape pricing, prioritization, and growth, and help build a data function from the ground up.

Key Responsibilities

• Partner with Product, Finance, Marketing, and Sales to scope what matters, define metrics, and translate business questions into analyses.
• Partner with engineering on product instrumentation, decide what events to capture and their structure.
• Own the analysis end‑to‑end, from data modeling through dashboards, readouts, and ongoing monitoring.
• Build and maintain the semantic layer in Omni so humans and AI agents can query reliably; govern metric definitions and resolve discrepancies.
• Design and maintain data pipelines in BigQuery for analytics and reporting, including ETL for new data sources.
• Inform architectural decisions on transformation, orchestration, and tooling as the stack matures.
• Partner with the Head of Data on prioritization, help shape the team’s roadmap, and identify improvement opportunities.

Qualifications

• 5–7 years of experience in analytics or analytics engineering with examples of dashboards and analyses that drove business decisions.
• Fluent SQL and hands‑on experience with BigQuery or comparable cloud warehouse.
• Comfortable in codebase, reason about system interactions, and contribute to architectural conversations; hands‑on experience in Python or TypeScript.
• Semantic modeling experience in Omni, LookML, Cube, MetricFlow, or similar; Omni experience a strong plus.
• Solid grounding in database architecture and ETL; experience designing pipelines.
• Experience analyzing product feature launches: defining success metrics, reviewing instrumentation, and interpreting results.
• Strong stakeholder skills: gather requirements, push back as needed, communicate clearly in writing and conversation.
• Integrated AI meaningfully into your work; can discuss how you use it, limits, and judgment.
• Comfortable switching between analyst and engineer modes across domains.
• Enjoys planning, executing, and celebrating as a team.
• Experience working remotely and/or in a startup environment.

Benefits

• 100% employer‑sponsored medical care; 25% toward dependents
• Dental, Vision, and Mental Health Care
• Equity
• Flexible PTO
• 401(k) with payroll match
• Generous annual Learning & Development allowance
• Paid parental leave
• Weekly catered lunch at Headquarters

Compensation

The salary range for this role is $180,000 – $208,000 annually, eligible for equity. Background check required.