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Key skills for this role
Partner closely with Marketing/Revenue/Product leadership to understand priorities and deliver actionable insights.
Build and maintain dashboards, reports, and analytical models (Power BI, Amplitude, or similar).
Translate ambiguous business questions into structured analysis and clear recommendations.
Combine product, revenue, marketing, and operational data to uncover cross-functional insights.
Establish analytics standards, metric definitions, SLAs, and governance for the Marketing/Revenue/Product domain.
Drive self-service analytics by creating clear documentation and automated reporting.
Use LLM-assisted tools and AI coding agents to accelerate analysis, exploration, and documentation.
Mentor junior analysts and contribute to scalable analytics workflows.
4+ years in a data or business analytics role.
Strong SQL and Python skills.
Experience with BI/product analytics tools (Power BI, Looker, Amplitude, etc.).
Proven ability to deliver insights from multiple data sources (CRM, product, finance, marketing).
Comfortable working with ambiguous questions and senior stakeholders.
Experience using AI tools/coding agents to accelerate analytics workflows.
Nice to Have
SaaS / B2B experience with ARR, churn, NRR, and funnel analytics.
Familiarity with DBT, semantic layers, or modern data stacks.
Experience mentoring analysts or building analytics standards.
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Automates financial approval workflows for accounts payable and receivable.
Visit company websiteJobs and hiring trendsFull-time
Senior · 4+ years experience
Remote
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