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Customer Data Analyst

LEAP Staffing Solutions

Salary not specified
Oct 3, 2025
Remote, US
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Leap is seeking a Customer Data Analyst to transform raw customer and go-to-market data into actionable insights that drive customer acquisition, retention, and expansion, supporting strategic decision-making around the customer journey.

Requirements

  • Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
  • Experience with Salesforce and related GTM tools (e.g., Gong, HubSpot) preferred.
  • Experience working with SaaS financial metrics (e.g., ARR, retention, churn) and partnering with Finance/FP&A on recurring reporting.
  • Ability to analyze product usage/adoption data and translate it into actionable business insights for cross-functional teams.
  • Strong analytical and problem-solving skills; ability to turn complex data into clear, actionable insights.

Responsibilities

  • Collect, clean, and analyze customer data (usage, adoption, churn, retention, expansion) across Salesforce, internal health tools, and marketing platforms.
  • Build and maintain executive-ready dashboards and recurring reports in Salesforce, Tableau/Power BI, and other analytics tools.
  • Track onboarding completion, time-to-value, product adoption, and customer health scoring. Provide insights to CS leaders on at-risk accounts.
  • Partner with Sales and Marketing on funnel conversion, pipeline performance, and renewal/upsell forecasting.
  • Collaborate with Finance/FP&A on standardized SaaS reporting (e.g., ARR, retention, churn) and support recurring executive and board-level reporting as needed.
  • Work with the CTO and Product/Engineering teams to analyze product usage, adoption, and engagement trends, translating them into actionable insights for Revenue, Customer Success, and Finance stakeholders.
  • Ensure data hygiene in Salesforce and related systems; work with RevOps to implement data governance standards.

Other

  • 4+ years of experience in data analytics, revenue operations, or business intelligence, ideally in a SaaS company.
  • Excellent communication skills with the ability to partner cross-functionally and present findings to senior leadership.
  • Self-starter who thrives in a fast-paced, scaling environment.