• Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization
• Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards, and segmentation; responsible for data integrity
• Perform impact analysis and modeling for a variety of different marketing initiatives and projects
• Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
• Collaborate with marketing cross-functional partners to integrate data-driven insights into marketing strategies and decision-making processes

Teams we're currently hiring for:

Paid Marketing:

• Build out reporting and real-time analysis at appropriate granularity to make sure paid marketing budget is spent responsibly and make enable day-to-day optimization decisions
• Partner closely with stakeholders to more accurately measure channel incrementality and take into account more complex customer journeys
• Collaborate on data segmentation and optimization strategies to improve audience targeting and advertising effectiveness
• Support ad hoc strategic analysis to provide recommendations that drive increase return on spend
• Mentor and provide guidance to other junior data scientists within the team

Sales-Assisted Marketing:

• Own the logic, maintenance, reporting, and analysis of our Sales-Assisted Marketing attribution model, enabling deep understanding of channel and campaign performance
• Investigate and implement various attribution frameworks, including multi-touch attribution
• Oversee and improve data reporting to enable real-time, data-driven decision making across multiple teams
• Generate action-oriented insights and business recommendations
• Experience building data pipelines and understanding of Salesforce objects required

• 5+ years relevant work experience supporting a Marketing or similar function
• Fluency in SQL
• Proficiency in Python, R or similar scripting language
• Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
• Prior experience in applying statistical methods to experiment design
• A proven track record of excellent judgment and creative problem solving skills on short and long term projects
• Experience communicating and working across functions to proactively drive solutions
  

Read more about our team:

• https://www.figma.com/blog/cross-functional-data-science-user-research-figma/
• https://www.figma.com/blog/how-we-use-data/
• https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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