Culture Amp10 days ago
Principal Systems & Data Analyst
Salary not specified
MARKET
15,417 ₽median for this role
System Analyst · 17 jobs with disclosed pay
5,680half of the offers: 9,583–17,000120,000
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San Francisco
Responsibilities
- 01Design and implement a new attribution model or tool for our growth-marketing funnel, then build and maintain pipeline and attribution reporting in Looker and Amplitude
- 02Define field standards, deduplication rules, and data quality SLAs across HubSpot and Salesforce, and partner with our operations team to embed them in day-to-day practice
- 03Map and improve end-to-end data flows across HubSpot, Salesforce, and adjacent systems, identifying sync gaps, source-of-truth conflicts, and reporting risks before they affect pipeline measurement
- 04Support regional and growth-marketing teams with practical attribution and performance questions, including campaign and event measurement, while building clear definitions the broader team can use without tribal knowledge
- 05Own source-of-truth definitions for customer and account data, partnering with customer-facing systems where growth and customer data intersect
- 06Partner with our SDR Operations team so data health, enrichment, and reporting stay consistent across the full funnel
- 07Partner with our Marketing Systems Architect on integration and sync design so the data flowing through our systems supports clean, trustworthy reporting
- 08Support our Lifecycle Marketing team with segmentation and performance reporting needs
- 09Document data definitions, standards, and reporting logic so the team scales without relying on tribal knowledge
Requirements
- 018+ years of experience in marketing or revenue analytics, attribution modeling, or data analysis in a B2B SaaS environment, with a track record of owning complex outcomes independently at a senior level
- 02Hands-on experience with HubSpot and Salesforce data models
- 03Experience evaluating and implementing attribution tools or models
- 04Experience translating marketing and revenue measurement needs into requirements for centralized Analytics, data engineering, or business intelligence teams
- 05Working knowledge of modern analytics foundations such as data warehousing, dbt, LookML, and BI governance; deep hands-on ownership of the shared Analytics stack is not required
- 06Strong SQL and data manipulation skills; experience with Looker and/or Amplitude is a plus
- 07Strong experience using AI tools to analyze data quality; familiarity using AI tools inside tech stack (6sense, Qualified, Outreach)
- 08Experience using LLMs for natural language reporting, setting up self-serve analytics
- 09Experience applying LLMs or AI tools to natural-language reporting, data-quality workflows, or self-service analytics, with an understanding of the importance of centralized definitions, access controls, and reporting governance
- 10A track record of building data quality and hygiene standards and driving the adoption of them
- 11Strong communication skills, with the ability to translate data findings for non-technical stakeholders
- 12Comfort partnering across operations, SDR, and lifecycle teams
What we offer
- 01Work from local Culture Amp office an average of 2 days a week
- 02Compensation package includes additional components such as equity and benefits
- 03Actual base salary will vary based on various factors, including market and individual skills, capabilities and experience, objectively assessed during the interview process