Principal Systems & Data Analyst

About this role

We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 days a week to unlock connection, pace and culture together.

Join us on our mission to make a better world of work.

Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,000 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.

Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.

For more information visit cultureamp.com .

The opportunity

Our Growth Marketing team runs on a modern stack: HubSpot, Salesforce, Qualified, 6sense, Outreach, Amplitude, and Looker, and we're looking for a senior, hands-on individual contributor, a Principal Systems & Data Analyst, to become the person who makes that stack trustworthy. You'll own how we measure and attribute pipeline, set the standards for data health and hygiene across our systems, and define how we manage customer and account data. This is not a reporting-only analyst role. It sits upstream of analytics, owning the data foundations, system logic, and attribution design that make reporting trustworthy. This is a foundational role in a growth marketing function that delivers a substantial quarterly pipeline, and you'll have real influence over how that pipeline is measured, trusted, and reported.

About the team

You'll join our Systems & Data team within Lifecycle & Marketing Operations, working alongside our Marketing Systems Architect, who owns stack architecture and integrations, and our Marketing Operations team, who manage day-to-day platform administration. You'll also partner closely with our SDR Operations and the entire Growth and Brand Marketing teams to ensure data standards hold across the entire funnel, not just marketing.

What you'll do

• Design 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.

• Define 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.

• Map 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.

• Support 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.

• Own source-of-truth definitions for customer and account data, partnering with customer-facing systems where growth and customer data intersect.

• Partner with our SDR Operations team so data health, enrichment, and reporting stay consistent across the full funnel.

• Partner with our Marketing Systems Architect on integration and sync design so the data flowing through our systems supports clean, trustworthy reporting.

• Support our Lifecycle Marketing team with segmentation and performance reporting needs.

• Document data definitions, standards, and reporting logic so the team scales without relying on tribal knowledge.

What you'll bring

• 8+ 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.

• 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; deep hands-on ownership of the shared Analytics stack is not required.

• Strong SQL and data manipulation skills; experience with Looker and/or Amplitude is a plus.

• 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, with an understanding of the importance of centralized definitions, access controls, and reporting governance.

• A track record of building data quality and hygiene standards and driving the adoption of them.

• Strong communication skills, with the ability to translate data findings for non-technical stakeholders.

• Comfort partnering across operations, SDR, and lifecycle teams.

Nice to have

• 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.

For this role, the estimated base salary range is listed below. In addition to base salary, your compensation package will include additional components such as equity and benefits. For sales roles, your package may also include sales commission

The actual base salary will vary based on various factors, including market and individual skills, capabilities and experience, objectively assessed during the interview process. If you're interviewing for this role, speak with

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