Salary 💰 $128,000 - $160,000 per year
About the role Identify which accounts, segments, and cohorts are showing early growth, at-risk patterns, or upsell potential Recommend where GTM resources should focus based on usage behavior, customer profile, and stage in lifecycle Evaluate the impact of GTM plays, marketing campaigns, and CS initiatives on consumption and retention Highlight friction points in onboarding, adoption, and expansion that impact consumption growth Design expansion forecasting models that tie to product usage signals Surface high-potential segments, whitespace opportunities, and product adoption trends Refine account tiering using firmographic, behavioral, and performance data Build and maintain clear dashboards and reports for GTM teams in Salesforce & BI tools Requirements Experience working with consumption-based or usage-driven businesses SQL proficiency for data extraction and analysis Understands sales motions, customer journeys, and GTM strategy Comfortable interpreting usage, revenue, and pipeline metrics Skilled in building and iterating dashboards Distill complex analysis into clear, actionable recommendations for GTM leaders Focuses on how data drives actions that lead to revenue growth. Unlimited PTO, 12 Holidays + 2 Floating Holidays 100% Premiums Coverage for Medical, Dental, and Vision AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) Empower 401K Plan Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills SQL data extraction data analysis dashboard building forecasting models customer segmentation performance data analysis usage behavior analysis revenue metrics interpretation pipeline metrics interpretation
Soft skills analytical thinking communication actionable recommendations problem-solving collaboration adaptability strategic thinking attention to detail customer-focused data-driven decision making