SENIOR ANALYTICS ENGINEERLocation: San Francisco, CA (Hybrid Role)
The Role:As our
SeniorAnalytics 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 work across the stack: designing pipelines and semantic models in BigQuery and Omni, then using that foundation to build the dashboards and run the analyses that shape
how we price, prioritize, and grow. This is a role for someone who genuinely enjoys moving between analyst and engineer work, and who wants to help build a data function from the ground up rather than inherit one.
You'll also play a central role in how Vizcom uses AI internally. Our BI stack is built around Claude and Omni, and we need someone who can shape the semantic layer so both humans and AI agents can get reliable, trustworthy answers from it.
How You'll Do It:- 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. Help decide what events we capture and how they're structured to enable robust analysis.
- Own the analysis end-to-end, from data modeling through dashboards, readouts, and ongoing monitoring.
- Build and maintain the semantic layer in Omni so both humans and AI agents (Claude) can query the business reliably. Govern metric definitions, resolve discrepancies between sources, and make self-serve the default path.
- Design and maintain data pipelines in BigQuery to support analytics and reporting, including ETL for new data sources as they come online.
- 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 opportunities to improve how we work.
What You'll Bring:- 5 - 7 years of experience in analytics, analytics engineering, or a hybrid role, with specific examples of dashboards and analyses that drove business decisions.
- Fluent SQL and hands-on experience with BigQuery or a comparable cloud warehouse.
- Technically fluent beyond SQL. You're comfortable in a codebase, reason about how systems fit together, and contribute substantively to architectural conversations with engineering. Hands-on experience in a general-purpose language like Python or TypeScript.
- Semantic modeling experience in Omni, LookML, Cube, MetricFlow, or similar. Omni experience is a strong plus.
- Solid grounding in database architecture and ETL, with hands-on experience designing pipelines.
- Experience analyzing product feature launches: defining success metrics, reviewing instrumentation, and calling the results as they are.
- Strong stakeholder skills. You can gather requirements from non-technical partners, push back thoughtfully when the ask and the real need diverge, and communicate findings clearly in both writing and conversation.
- You've integrated AI meaningfully into how you work. You can speak specifically to how you use it, where it works, where it doesn't, and how you've developed judgment about when to trust output.
- Comfortable switching between analyst and engineer modes, and across domains. Product retention one day, finance or marketing performance the next.
- As a colleague, you enjoy planning, executing, winning and celebrating as a team
- Experience working remotely and/or in a startup environment
Benefits While Working At Vizcom:- 100% employer sponsored medical care for employees, 25% towards 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:Our compensation is tiered by U.S. location to ensure equity across our remote team. We benchmark at the 75th percentile using industry-standard data sets (Carta, Pave).
The salary range for this role is between $180,000 - 208,000 annually. This role is eligible for equity.The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations. The overall package described in this post applies to W2, U.S. based employees- final package will be determined by local requirements and employment laws and accessibility.
