Senior Analytics Engineer

Vizcom

Senior Analytics Engineer at Vizcom designing analytics solutions and data pipelines for product, finance, marketing, and sales teams. Collaborating with stakeholders to drive data-informed business decisions in a hybrid work environment.

Posted 6/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $180,000 - $208,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLPythonSQLSwitchingTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLBigQueryPythonTypeScriptETLdata modelingsemantic modelingdashboard creationanalytics engineeringdatabase architecture

Soft Skills

stakeholder managementcommunicationcollaborationrequirement gatheringcritical thinkingadaptabilityteamworkproblem-solvinganalytical thinkingjudgment