Business Analyst

New

IntellistackSaaS analytics

Remote/United StatesFull-TimeMiddle

Salary$90,000 - $100k base salary + 5% variable bonus based on company and individual performance.

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Job Details

Experience: 4+ years of experience in business intelligence, growth analytics, product analytics, or a related analytical role
Required Skills: SQLBusiness IntelligenceProduct AnalyticsDatabricks

Bring 4+ years of experience in business intelligence, growth analytics, product analytics, or a related analytical role.
Have strong SQL skills.
Have experience analyzing customer-level data in a cloud data platform such as Databricks.
Have experience with digital funnels and product event data.
Have experience working with cohorts, dashboards, and experiment measurement.
Have working knowledge of SaaS measures including ARR, GRR, NRR, churn, expansion, customer acquisition cost, and lifetime value.
Be able to explain findings in clear business terms.
Experience in digital self-serve or SMB SaaS is strongly preferred.
Helpful experience includes Pendo or a similar product analytics platform, Zuora, Salesforce, web analytics, or a BI tool.
Churn or expansion propensity analysis, pricing measurement, or evaluation of automated customer journeys is helpful.

Build and maintain a scorecard for qualified traffic, acquisition spend, signup, purchase, activation, new customers, and new ARR.
Analyze performance by channel, campaign, customer segment, and cohort, including conversion, acquisition cost, customer quality, and payback.
Identify friction in the website, pricing, signup, checkout, and early product experience, and evaluate the effects of changes.
Track customer and ARR retention by cohort, product, contract term, health, and segment; explain churn, contraction, reactivation, pricing, and expansion through an ARR bridge.
Combine product use, support, billing, and engagement signals to identify at-risk customers and adoption opportunities, and measure retention programs.
Identify and size opportunities for seat growth, upgrades, cross-sell, and upsell; measure conversion, expansion ARR, and subsequent customer health.
Use SQL and Databricks to develop customer-level analyses and partner with data teams on definitions, data quality, and reusable datasets.
Build dashboards and forecasts that show self-serve customer journey performance and explain changes to business stakeholders.
Evaluate experiments, automated journeys, and agentic programs using measures such as reach, completion, escalation, conversion, retained ARR, and expansion ARR.
Surface qualified digital intent signals for sales teams and measure outcomes of sales-assisted handoffs, especially for upsell.

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