Own funnel and paid campaign performance analysis across digital and brand channels (Meta, Google, TikTok, Pinterest, etc.), delivering proactive insights — not just reports
Lead monthly performance reviews — investigating key metric movements MoM, surfacing root causes, and presenting findings to the Growth team and stakeholders
Partner with the Growth Team on Marketing Mix Modeling (MMM) efforts — contributing to model inputs, validating outputs, and translating results into spend recommendations
Build, own, and iterate on Growth performance dashboards and reports in Looker
Design and support A/B and incrementality tests to evaluate channel efficiency and campaign impact
Conduct ad hoc analyses on budget efficiency, channel mix, and subscriber acquisition strategy with a high degree of independence
Document analytical work thoroughly; QA your own queries and analyses before delivery

Bachelor's degree in analytics, marketing, business, or a related field
2–4 years of hands-on experience in analytics, marketing analytics, or a quantitative role
Strong SQL skills — able to write, read, and QA complex queries independently
Proficiency in Excel or Google Sheets
Demonstrated experience with paid media platforms (Meta Ads Manager, Google Ads, TikTok, Pinterest) — comfortable working directly in platform data and understanding media metrics
Experience with data visualization tools such as Looker
Solid grounding in statistical concepts, including significance testing, A/B and/or incrementality testing, and familiarity with regression and attribution approaches
Strong communication skills; able to present findings and recommendations to marketing stakeholders and senior leadership clearly and confidently
Exposure to Marketing Mix Modeling (MMM) concepts or outputs is a plus
Experience in e-commerce, subscription services, or DTC growth marketing is a plus
Practical experience using AI/LLM tools (ChatGPT, Claude, etc.) for analytical work tasks is a plus

Analyst

Key skills