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Senior Data Analyst, GTM Analytics
Luxury Presence. Deliver decision-ready analysis across Sales, Marketing, and Client Success, including pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers .
Tech Stack
Tools & technologiesBigQueryCloudPythonSQLTableau
About the role
Key responsibilities & impact- Deliver decision-ready analysis across Sales, Marketing, and Client Success, including pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers
- Partner with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and carry analysis through to decisions
- Translate ambiguous stakeholder questions into clear, testable analytical approaches
- Build and maintain dbt models and marts for Sales, Marketing, and CS domains, using Salesforce as a core source system
- Own data quality and documentation, including definitions, source-of-truth tables, and quality assurance
- Contribute to Lighthouse, the company's BI-as-code platform, defining how dashboards, metrics, and semantic models are written, versioned, and reviewed
- Advance analytics workflows toward agentic AI by using AI agents to accelerate analysis and automate recurring reporting
- Evaluate where AI can replace manual analyst work and where it cannot
- Operate in two-week sprints, planning and prioritizing a backlog against team OKRs
- Provide clear, proactive status updates to stakeholders
- Report to the Senior Manager of Analytics and work alongside Analytics Engineering
Requirements
What you’ll need- 5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company
- Staff-level candidates should bring deeper scope, including larger or more ambiguous problems owned end-to-end and a track record of setting technical direction
- Expert SQL and hands-on dbt experience modeling GTM data
- Comfortable with Python for analysis and automation
- Experience with Salesforce as a data source, including understanding CRM objects, fields, and data-modeling quirks
- Familiarity with a modern data stack, including Fivetran or similar EL tooling and a cloud warehouse
- Genuine curiosity about agentic analytics and experience using AI agents or LLM tools to speed up analysis
- Strong communication skills to frame recommendations clearly for non-technical stakeholders and defend them under questioning
- Comfortable owning deliverables through to closure
- Energized by ambiguity and fast iteration
- Experience with a modern BI tool such as Sigma, Hex, Tableau, Looker, or similar is a strong plus, not a hard requirement
- Hands-on experience with Claude Code or a similar coding agent such as Codex is a big plus, not a hard requirement
- BigQuery experience is welcome; the company uses Snowflake