Principal Systems & Data Analyst
$140,000–$170,000 year
On-siteSan Francisco, California, United States
Job Summary
Design and implement attribution models and tools for the growth-marketing funnel, then build and maintain pipeline and attribution reporting in Looker and Amplitude. Define field standards, deduplication rules, and data quality SLAs across HubSpot and Salesforce, while mapping end-to-end data flows to identify sync gaps and reporting risks. Support regional teams with practical attribution questions, own source-of-truth definitions for customer and account data, and document standards so the team scales without tribal knowledge. Partner with the Marketing Systems Architect on integration design and with SDR Operations to ensure consistent data health across the full funnel.
Required Qualifications
- 8+ years of experience in marketing or revenue analytics, attribution modeling, or data analysis in a B2B SaaS environment
- track record of owning complex outcomes independently at a senior level
- Hands-on experience with HubSpot and Salesforce data models
- Experience evaluating and implementing attribution tools or models
- Experience translating marketing and revenue measurement needs into requirements for centralized Analytics, data engineering, or business intelligence teams
- Working knowledge of modern analytics foundations such as data warehousing, dbt, LookML, and BI governance
- Strong SQL and data manipulation skills
- Strong communication skills, with the ability to translate data findings for non-technical stakeholders
- Comfort partnering across operations, SDR, and lifecycle teams
Desired Qualifications
- experience with 6sense, Qualified, or Outreach data models
- Experience operating in a fast-scaling B2B SaaS revenue engine
- Exposure to AI-assisted reporting or analytics tooling
- Strong experience using AI tools to analyze data quality
- familiarity using AI tools inside tech stack (6sense, Qualified, Outreach)
- Experience using LLMs for natural language reporting, setting up self-serve analytics
- Experience applying LLMs or AI tools to natural-language reporting, data-quality workflows, or self-service analytics
- deep hands-on ownership of the shared Analytics stack
- experience with Looker and/or Amplitude
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