Perplexity is looking to accelerate its growth initiatives and expand its reach globally by leveraging data-driven insights to optimize strategies across various functions.
Requirements
- Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization.
- Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker).
- Have experience designing, implementing, and analyzing A/B tests and statistical experimentation.
- Have experience with data modeling and pipeline development (e.g., dbt, Airflow).
- Hands-on experience with dbt and data engineering/analytics engineering.
- Experience with Snowflake and modern data stack tools.
- Are comfortable with Python for data analysis and automation.
Responsibilities
- Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth.
- Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences.
- Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI.
- Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making.
- Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth.
- Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness.
Other
- Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives.
- Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization.
- Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies.
- Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration.
- Previous experience at a high-growth startup or early-stage company in a growth-focused data science role.
