Senior Business Analyst (Growth Marketing)

Whoop•Boston, MA

1d•Onsite

About The Position

WHOOP is seeking a Senior Business Analyst to partner with the Growth Marketing team. This role will focus on analyzing campaign performance, identifying opportunities to improve marketing efficiency and return on ad spend, and developing reporting and dashboards. The ideal candidate will translate complex data into actionable insights, support experimentation, and collaborate with Data Science to integrate modeling outputs. This position requires strong analytical skills, proficiency in SQL, experience with data platforms, and the ability to communicate effectively with both technical and non-technical stakeholders. The role is based in the WHOOP office in Boston, MA, and relocation may be required.

Requirements

4+ years of experience in analytics, preferably supporting marketing or growth teams in a consumer business.
Strong analytical problem-solving skills with the ability to translate complex datasets into actionable business insights.
Proficiency in SQL and experience working with modern data platforms such as Snowflake, dbt, or similar technologies.
Highly adept at leveraging AI tools to increase efficiency and quality of work.
Experience analyzing paid media performance across channels such as paid search, social, display, or affiliate marketing.
Familiarity with experimentation frameworks, marketing attribution, or incrementality testing.
Excellent communication skills with the ability to influence stakeholders through clear storytelling and data visualization.
Highly organized and able to manage multiple priorities in a fast-paced environment.

Responsibilities

Partner with performance marketers on the Growth Marketing team to analyze campaign performance and identify opportunities to improve marketing efficiency and return on ad spend.
Develop and maintain reporting and dashboards that monitor performance across channels, geographies, and campaigns.
Translate media performance, site behavior, and downstream conversion metrics into clear insights that inform optimization decisions.
Support experimentation and measurement efforts, including incrementality testing, platform lift studies, and other performance marketing experiments.
Collaborate with Data Science to integrate modeling outputs such as marketing mix models, attribution models, and predictive forecasts into decision-making.
Analyze cross-channel performance to inform budget allocation, pacing decisions, and growth planning.
Work closely with marketing stakeholders to structure business questions, define KPIs, and develop measurement plans for new initiatives.
Communicate insights clearly to both technical and non-technical stakeholders, influencing marketing strategy through data-driven recommendations.