À propos
Business Analyst
to bring rigor and insight to our Go-to-Market (GTM) operations. Role Overview: We are seeking a
Business Analyst
to partner with Growth, Marketing, Sales, and Product teams to turn data into actionable insights that drive GTM strategy and revenue growth. You will own the analysis and reporting infrastructure that powers our decisions—working with tools like
Metabase, HubSpot, SQL, and internal dashboards
to surface key metrics, improve funnel visibility, and guide investment across acquisition, conversion, and retention. This is a high-impact role for someone who loves finding patterns in data, translating complexity into clear stories, and enabling teams to move faster and smarter. What You’ll Do: Data Analysis & Insights 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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Compétences linguistiques
- English
Avis aux utilisateurs
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