Senior Data Analyst (GTM Analytics)

Location: Austin, TX, United States; hybrid workplace.

Company

hirify.global is building an AI growth platform for real estate and is a Series C company with over $100M in annual recurring revenue.

What you will do

• Deliver decision-ready analysis for Sales, Marketing, and Client Success covering pipeline health, funnel conversion, campaign and channel performance, cohorts, retention, and GRR/NRR drivers.
• Partner with GTM stakeholders to scope questions, frame recommendations, and carry analysis through to business decisions.
• Build and maintain dbt models and marts for Sales, Marketing, and Client Success domains using Salesforce as a core source system.
• Own data quality, documentation, source-of-truth tables, and QA for the assigned domain.
• Contribute to Lighthouse, the BI-as-code platform for version-controlled dashboards, metrics, and semantic models.
• Use AI agents to accelerate analysis, automate recurring reporting, and reduce manual dashboard requests while working in two-week sprints.

Requirements

• 5+ years of experience in analytics or BI, including meaningful experience supporting Sales, Marketing, or Customer Success at a fast-growing company.
• Expert SQL and hands-on dbt experience modeling GTM data.
• Python experience for analysis and automation.
• Experience using Salesforce as a data source, including knowledge of CRM objects, fields, and data-modeling considerations.
• Familiarity with modern data stacks, including Fivetran or similar EL tools and a cloud data warehouse; the company uses Snowflake.
• Ability to communicate recommendations clearly to non-technical stakeholders, defend conclusions, own deliverables through closure, and work effectively with ambiguity and fast iteration.
• Staff-level candidates should have owned larger or more ambiguous problems end-to-end and set technical direction.

Nice to have

• Experience with BigQuery.
• Experience with Sigma, Hex, Tableau, Looker, or a similar modern BI tool.
• Understanding of governed semantic layers, self-service dashboards, and BI-as-code practices.
• Experience using AI agents or LLM tools to accelerate analysis.
• Hands-on experience with Claude Code, Codex, or a similar coding agent.

Culture & Benefits

• Work in two-week sprints alongside Analytics Engineering.
• Plan and prioritize an individual backlog against team OKRs with the manager.
• Provide proactive stakeholder status updates.
• Work on an actively developing BI-as-code and agentic analytics platform.
• Equal opportunity employment is provided.