Analyzes GTM data across sales, pipeline, and operations to drive strategy, growth levers, and performance insights. Partners with leadership using SQL, BI tools, and Salesforce to deliver dashboards and recommendations. Requires 5+ years in analytics.
150k – 205k
On-site5+ YOEData Analytics
About the role
Responsibilities
Develop a deep understanding of Shepherd's business model, GTM motion, and operating cadence to support data-driven decision-making
Lead analytical deep dives on core GTM and business questions, identifying patterns, risks, and opportunities across pipeline, conversion, and performance
Identify, develop, and maintain key performance indicators to measure GTM health, efficiency, and revenue growth
Create and own dashboards and reports using SQL and BI tools to support leadership and functional teams
Support internal and external reporting requirements, including executive, board, and partner-facing analyses
Understand and meet key stakeholders' ongoing analytics needs and deliver actionable, data-driven recommendations
Design and analyze experiments to test hypotheses and identify scalable growth levers (e.g., activities, segmentation, capacity allocation, GTM prioritization)
Maintain, optimize, and establish best practices for BI and GTM tooling
Ensure data quality and integrity through robust validation and QA processes
Requirements
5+ years of experience in analytics, business intelligence, data science, management consulting, or a related field
Bonus: experience with revenue, sales, or GTM analytics in a high-growth environment
Strong proficiency in SQL (required); experience with Python is a plus
Advanced Excel skills and experience with modern BI and data visualization tools
Experience analyzing and synthesizing data across Salesforce (CRM) and GTM tooling (e.g., Outreach) to inform pipeline strategy and execution
Experience supporting GTM performance management, including quota setting and sales performance tracking
Excellent communication skills, with the ability to clearly articulate insights and business implications to technical and non-technical audiences
A high bar for accuracy, rigor, and polish in analytical work
Strong business acumen and comfort operating in ambiguity
Proven ability to prioritize effectively and manage multiple workstreams in a fast-paced environment
A collaborative, low-ego mindset and experience working cross-functionally
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