Novita AI
Business Analyst, GTM Data & Insights
Novita AI, San Francisco, California, United States, 94199
Novita AI powers next-generation AI applications with scalable AI and agent infrastructure. We’re looking for a
Business Analyst
to bring rigor and insight to our go‑to‑market operations.
Role Overview Partner with Growth, Marketing, Sales, and Product teams to turn data into actionable insights that drive GTM strategy and revenue growth. Own the analysis and reporting infrastructure that powers decisions—working with tools such as Metabase, HubSpot, SQL, and internal dashboards to surface key metrics, improve funnel visibility, and guide investment across acquisition, conversion, and retention.
What You’ll Do
Data Analysis & Insights
Analyze product, marketing, and sales funnels to uncover growth opportunities and optimize CAC/LTV, conversion rates, and channel ROI.
Build dashboards and automated reports in Metabase and other BI tools to track pipeline health, campaign performance, and revenue KPIs.
Define and maintain GTM metrics, ensuring data accuracy and consistency across sources (HubSpot, billing, product analytics, etc.).
GTM Tooling & Data Management
Manage and improve data pipelines connecting HubSpot, CRM, and product usage data.
Partner with Growth Engineering to design experiments, validate hypotheses, and instrument tracking.
Own documentation and processes for data quality, governance, and standard definitions of key metrics.
Cross‑Functional Collaboration
Work closely with GTM leadership to shape strategy with data‑driven recommendations.
Translate business questions into analytical frameworks and SQL queries.
Present findings to executives and stakeholders in clear, actionable narratives.
Qualifications
3–5 years of experience in Business Analytics, Revenue/GTM Operations, or Data Science at a SaaS or high‑growth tech company.
Strong proficiency in SQL and experience with BI/dashboarding tools (Metabase, Looker, Tableau, Mode, etc.).
Hands‑on experience with CRM/marketing automation platforms (HubSpot preferred) and data pipeline concepts.
Proven ability to define metrics, design analyses, and communicate insights to both technical and non‑technical audiences.
Comfort working in a fast‑paced, startup environment with imperfect data and evolving priorities.
Bonus: experience with Python or dbt for data transformation, or familiarity with GPU/AI infrastructure markets.
Why Join Us
Shape the data foundation of a rapidly scaling AI infrastructure company.
Work with a global team building cutting‑edge products for the AI developer ecosystem.
Competitive compensation and benefits package.
Competitive pay package
100% employer‑covered premium medical, dental, and vision insurance
401(k) plan
Free lunches in the office
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Business Analyst
to bring rigor and insight to our go‑to‑market operations.
Role Overview Partner with Growth, Marketing, Sales, and Product teams to turn data into actionable insights that drive GTM strategy and revenue growth. Own the analysis and reporting infrastructure that powers decisions—working with tools such as Metabase, HubSpot, SQL, and internal dashboards to surface key metrics, improve funnel visibility, and guide investment across acquisition, conversion, and retention.
What You’ll Do
Data Analysis & Insights
Analyze product, marketing, and sales funnels to uncover growth opportunities and optimize CAC/LTV, conversion rates, and channel ROI.
Build dashboards and automated reports in Metabase and other BI tools to track pipeline health, campaign performance, and revenue KPIs.
Define and maintain GTM metrics, ensuring data accuracy and consistency across sources (HubSpot, billing, product analytics, etc.).
GTM Tooling & Data Management
Manage and improve data pipelines connecting HubSpot, CRM, and product usage data.
Partner with Growth Engineering to design experiments, validate hypotheses, and instrument tracking.
Own documentation and processes for data quality, governance, and standard definitions of key metrics.
Cross‑Functional Collaboration
Work closely with GTM leadership to shape strategy with data‑driven recommendations.
Translate business questions into analytical frameworks and SQL queries.
Present findings to executives and stakeholders in clear, actionable narratives.
Qualifications
3–5 years of experience in Business Analytics, Revenue/GTM Operations, or Data Science at a SaaS or high‑growth tech company.
Strong proficiency in SQL and experience with BI/dashboarding tools (Metabase, Looker, Tableau, Mode, etc.).
Hands‑on experience with CRM/marketing automation platforms (HubSpot preferred) and data pipeline concepts.
Proven ability to define metrics, design analyses, and communicate insights to both technical and non‑technical audiences.
Comfort working in a fast‑paced, startup environment with imperfect data and evolving priorities.
Bonus: experience with Python or dbt for data transformation, or familiarity with GPU/AI infrastructure markets.
Why Join Us
Shape the data foundation of a rapidly scaling AI infrastructure company.
Work with a global team building cutting‑edge products for the AI developer ecosystem.
Competitive compensation and benefits package.
Competitive pay package
100% employer‑covered premium medical, dental, and vision insurance
401(k) plan
Free lunches in the office
#J-18808-Ljbffr