Perplexity is looking to accelerate its growth marketing efforts and expand its reach globally by leveraging data-driven insights to optimize marketing strategies.
Requirements
Proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker).
Experience designing, implementing, and analyzing A/B tests.
Experience with data modeling (e.g., dbt, Airflow).
Hands-on experience with dbt and data engineering/analytics engineering.
Experience with Snowflake.
Comfortable with Python for data analysis.
Machine learning experience.
Responsibilities
Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization and growth.
Conduct analysis on social media performance and marketing spend to maximize reach, engagement, and effectiveness.
Design, implement, and interpret A/B tests to continuously enhance marketing performance and effectiveness.
Define, implement, and visualize key marketing metrics, creating dashboards to track and communicate marketing effectiveness and ROI.
Develop data models and pipelines to improve analytics efficiency and data accessibility.
Hands-on experience with dbt and data engineering/analytics engineering.
Comfortable with Python for data analysis.
Other
4+ years of experience working as a data scientist or related role.
Experience with the following areas: product marketing, paid acquisition, SEO, social, and/or lifecycle marketing.
Take ownership and are a self-starter who thrives with open-ended problems.
Previous experience at a high-growth startup or early-stage growth/marketing data science role.
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