Business Analyst (Remote)

RecruiterForge

United States

On-site

USD 110,000 - 160,000

Full time

20 hours ago
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Job summary

RecruiterForge is seeking an analytics-focused Lead for digital self-serve SaaS growth. You will own acquisition analytics, build trusted dashboards, and connect marketing, product, billing, and customer data to measure ARR, churn, and expansion opportunities.

You will partner with data teams to ensure data quality, define metrics, and deliver actionable insights for cross-functional stakeholders. Strong SQL and Databricks experience is required.

Qualifications

  • 4+ years in BI, growth analytics, or product analytics.
  • Strong SQL and cloud data platform skills (Databricks).
  • Experience with dashboards, cohorts, funnels, and experiment measurement.
  • Familiarity with SaaS metrics: ARR, GRR, NRR, CAC, LTV.
  • Ability to communicate findings in business terms.

Responsibilities

  • Lead acquisition and growth analytics for a digital self-serve SaaS business.
  • Build and maintain dashboards and forecasts for self-serve customer journeys.
  • Analyze channels, cohorts, and spend to optimize conversion and payback.
  • Evaluate retention programs and measure ARR expansion opportunities.
  • Surface insights to sales teams and measure sales-assisted handoffs.
  • Collaborate with data teams on definitions and data quality.

Skills

SQL
Databricks
BI analytics
SaaS metrics

Education

Bachelor's degree in a related field

Tools

Databricks
Pendo
Salesforce
Google Analytics

Job description

Lead business analysis for a digital self-serve SaaS business focused on small and medium-sized customers. Connect marketing, website, product, billing, and customer data to understand acquisition, purchasing, adoption, retention, and expansion.

This hands-on analytics role defines metrics, investigates performance, builds trusted reporting, and evaluates growth and retention initiatives. You will also provide account insights and measure sales-assisted handoffs, with digital self-serve analytics as the primary focus.

Acquisition and customer growth
  • Build and maintain a scorecard covering qualified traffic, acquisition spend, signups, purchases, activation, new customers, and new annual recurring revenue (ARR).
  • Analyze channels, campaigns, customer segments, and cohorts to assess conversion, acquisition costs, customer quality, and payback.
  • Identify friction across website, pricing, signup, checkout, and early product experiences, and measure the impact of changes on conversion and retention.
  • Track customer and ARR retention by cohort, product, contract term, customer health, and segment.
  • Explain churn, contraction, reactivation, pricing, and expansion using a consistent ARR bridge.
  • Combine product usage, support, billing, and engagement signals to identify at-risk customers and opportunities to improve adoption.
  • Evaluate retention programs against appropriate comparison groups.
  • Identify and size opportunities for seat growth, upgrades, cross-sell, and upsell, measuring conversion, expansion ARR, and subsequent customer health.
Reporting and decision support
  • Use SQL and Databricks to develop reliable customer-level analyses.
  • Partner with data teams on shared definitions, data quality, and reusable datasets.
  • Build dashboards and forecasts covering the self-serve customer journey and explain performance changes to business stakeholders.
  • Evaluate experiments, automated journeys, and agentic programs through reach, completion, escalation, conversion, retained ARR, and expansion ARR.
  • Surface qualified digital intent signals for sales teams and measure sales-assisted handoff outcomes, particularly for upsell opportunities.
Experience you will need
  • 4+ years of experience in business intelligence, growth analytics, product analytics, or a related analytical role.
  • Strong SQL skills and experience analyzing customer-level data in a cloud data platform such as Databricks.
  • Experience with digital funnels, product event data, cohorts, dashboards, and experiment measurement.
  • Working knowledge of SaaS metrics, including ARR, gross revenue retention, net revenue retention, churn, expansion, customer acquisition cost, and lifetime value.
  • Ability to explain analytical findings in clear business terms.
Experience that adds value
  • Digital self-serve or SMB SaaS experience is strongly preferred.
  • Experience with Pendo or a similar product analytics platform, Zuora, Salesforce, web analytics, and business intelligence tools.
  • Churn or expansion propensity analysis, pricing measurement, or evaluation of automated customer journeys.
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