Beautiful.ai is presentation software that makes it easy to turn your ideas into beautiful visual stories. Our design-AI has been taught the rules of good design and applies them in real-time as you add or edit content; making it easier to build stunning visual presentations that look professionally designed 10x faster.

As an early member of the data team, you'll serve as a model for excellence in data-driven decision making. You'll help shape data processes and values as the team expands. As part of a small and fast-paced team, you'll have the opportunity to grow and develop rapidly. You'll demonstrate our team values and principles.

In this role, you will be instrumental in providing behavioral and growth analytics insights by combining your knowledge of the modern data stack with a deep understanding of the product value proposition. Your expertise in data analysis, advanced visualization, custom attribution modeling, and event tracking will be essential in enhancing our business strategies.

This role will report directly to the Head of Product and Growth and will be responsible for data insights across the organization.

What you'll do

• Employ the modern data stack: Leverage your proficiency with dbt, Snowflake, Mode, Stitch, SQL, and Python to transform raw data into actionable insights, develop data pipelines, and build data models to support reporting and analytics requirements.
• Engage with multiple stakeholders: You will collaborate with teams across the organization, including Finance, Marketing, Customer Success, Engineering, and Product, understand their data needs, provide insights, and assist in making data-driven decisions.
• Analyze SaaS metrics: Utilize a strong background in SaaS metrics by tracking and analyzing key performance indicators (KPIs) such as daily active users, Monthly Recurring Revenue (MRR), and Annual Recurring Revenue (ARR).
• Product Led Growth (PLG) expertise: Leverage experience working with Product Led Growth (PLG) business models to assess product usage and user behavior to identify opportunities for optimization.
• Advanced Visualizations: Create compelling and insightful visualizations, including Sankey diagrams, web charts, and network diagrams, to effectively communicate complex data relationships and trends.
• A/B Testing: Collaborate on the framework for A/B testing experiments, report on test outcomes, and provide recommendations based on test results.
• Event Tracking: Define and implement event tracking mechanisms to capture user behaviors and interactions.
• Documentation: Demonstrate discipline in documentation, ensuring that data analysis processes, insights, and results are well-documented for knowledge sharing and future reference.
• Data Infrastructure Consultation: Evaluate the current data infrastructure and propose recommendations and cost-saving opportunities to enhance data processing, storage, and analysis capabilities.
• API Integration: Utilize API calls into Stripe and various marketing data endpoints for seamless data retrieval and integration into analytical workflows.
• Custom Attribution Modeling: Implement custom attribution models to measure the impact of various marketing initiatives accurately.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field preferred.
• 5+ years of hands-on experience with a modern data stack, including dbt, Snowflake, Mode, Stitch, and Python.
• Solid SQL proficiency.
• Proven track record of engaging with multiple stakeholders across different departments to understand their data needs
• Ability to effectively convey complex data insights to non-technical stakeholders
• Extensive experience in analyzing and interpreting SaaS metrics
• Familiarity with Product Led Growth (PLG) business models and expertise in analyzing user behavior and product usage data.
• Self-motivated and proactive in identifying opportunities for improvement and suggesting data-driven strategies.
• Exceptional problem-solving skills and the ability to tackle complex data challenges.
• Strong expertise in behavioral analytics, A/B testing, and custom attribution modeling.
• Experience working with Stripe reporting and integrating API calls.
• Solid understanding of data infrastructure and cloud technologies.