# Business Analyst II

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** Data Analytics
**Experience:** 2+ years
**Skills:** SQL, Sigma, A/B Testing, Data Visualization, Data Modeling, Analytics, Experimentation, Dashboarding
**Posted:** 2026-06-29

> Business Analyst partnering with Lifecycle Marketing at WHOOP to analyze member communications, run experiments, build dashboards, and deliver data-driven insights that optimize engagement, retention, and monetization across the customer lifecycle.

## Job Description

## Responsibilities

- Analyze member communication performance across channels, segments, and lifecycle stages to identify trends and provide actionable insights that inform messaging strategy.
- Collaborate directly with Lifecycle Marketing stakeholders to answer business questions, surface opportunities, and recommend strategies grounded in data.
- Design and analyze experiments (e.g., A/B testing) to evaluate the effectiveness of lifecycle campaigns and inform roadmap decisions around targeting, timing, and content.
- Build and maintain dashboards and reports to track key lifecycle metrics, providing the LCM team with real-time visibility into campaign performance and member behavior.
- Develop and maintain models that connect member communication data with behavioral and engagement metrics, enabling consistent and accurate lifecycle reporting.
- Generate forward-looking recommendations to optimize lifecycle strategy, presenting findings and actionable next steps to LCM leadership and cross-functional partners.

## Requirements

- 2+ years of experience as a Business Analyst or in a similar role, preferably within a growth, lifecycle, or product-focused environment.
- Bachelor's degree in Statistics, Business, Economics, Data Science, or a related field.
- Creative approach to problem-solving with demonstrated ability to distill complex data into clear, actionable insights and effectively communicate them to stakeholders.
- Self-starting, fast-moving, and collaborative approach to problem-solving.
- Strong technical and analytical skills; SQL skills required.
- Proficiency with data visualization tools such as Sigma or similar.
- Excellent attention to detail with the ability to handle multiple tasks efficiently.

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