Responsibilities

• Use low-code/no-code analytics platforms (e.g., Sigma Computing, Tableau, Looker) to process product usage, customer feedback, and behavioral data, quickly extracting adoption trends and activation opportunities
• Analyze large, multi-source data sets to diagnose onboarding bottlenecks, missed opportunities, and patterns in new user feature engagement
• Plan, run, and evaluate experiments across in-product, email, community, social, web, and event channels, prioritizing tests based on quantifiable ROI
• Partner closely with the Growth Product Pod (Product, Design, Engineering, and Data Science) to run experiments (iterating on messaging, timing, and audience segmentation to optimize conversion) as well as shape the teams big bets
• Communicate complex analytical findings and growth insights as clear, actionable recommendations to cross-functional partners, driving consensus and coordinated action on growth initiatives

Requirements

• 3+ years experience as growth PMM or business/data analyst - preferably in B2B SaaS or where you owned user onboarding and activation flows
• BA/BS in business, marketing, liberal arts, or related degree
• Demonstrated proficiency with low-code/no-code data analysis tools and experience using these to drive behavioral insights and business action
• Proven ability to design, implement, and measure growth marketing experiments based on data-driven hypotheses
• Cross-functional collaboration experience working with product, engineering, and other marketing teams to deliver cohesive user experiences

Work Location

• This is a hybrid position based out of our San Francisco or Palo Alto office