Principal Systems & Data Analyst
$140,000–$170,000 year
On-siteChicago, Illinois, United States
Job Summary
Design and implement a new attribution model or tool 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, partnering with operations to embed them in day-to-day practice. Map and improve end-to-end data flows across HubSpot, Salesforce, and adjacent systems, identifying sync gaps and reporting risks before they affect pipeline measurement. Support regional and growth-marketing teams with practical attribution and performance questions while building clear definitions to eliminate tribal knowledge. Own source-of-truth definitions for customer and account data, partnering with customer-facing systems where growth and customer data intersect. Document data definitions, standards, and reporting logic so the team scales without relying on tribal knowledge. This foundational role sits upstream of analytics, owning data foundations, system logic, and attribution design that make reporting trustworthy within the Lifecycle & Marketing Operations team.
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
- a track record of building data quality and hygiene standards and driving the adoption of them
- experience with Looker and/or Amplitude
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