Data Analyst

About the team

Beautiful.ai is changing the way the world presents by building fast, foolproof tools that enable anyone to tell visual stories that win. We are looking for an experienced and versatile data analyst to join us in our pursuit! This role has an opportunity for tremendous impact and is best suited for a self-starter who excels at tackling both concrete and ambiguous problems.

The Beautiful.ai team is a playful, driven, and passionate group of pet-lovers, video-gamers, and pickleball enthusiasts. With a globally-distributed remote team and a San Francisco-based office, we find unique opportunities to get to know each other personally, while delivering on our goals. Data-driven decision making and an outcomes-focused mindset are core to our way of working.

About the role

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

• Own the data narrative: As the vital link across key growth areas in the business, you will synthesize insights from product, sales, marketing, and finance to articulate a data-driven explanation about what’s happening in the business and why. Using this knowledge, you’ll formulate frameworks and identify opportunities to help us operate more effectively.
• Employ the modern data stack: Leverage your proficiency with dbt, Snowflake, Mode, Stitch, SQL, and Python to transform raw data into actionable insights 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, Sales, 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, annual recurring revenue (ARR), and cohorted retention rates.
• Inform account-based strategies: You will work closely with our Account Management and Sales teams to identify product qualified leads (PQLs) and account health metrics. You will refine these metrics as needed in order to ensure these quantitative definitions are actionable and produce results.
• Analyze key marketing metrics: You will monitor and explain fluctuations in marketing performance. You’ve supported data needs across multiple marketing channels in your previous roles, such as email, social, and paid ads. Your familiarity with third party marketing tools and APIs enables you to easily derive insights and troubleshoot discrepancies across business-user reporting and data warehouse models.
• 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.

How you work

• You are clever. You have exceptional problem-solving skills and are able to efficiently tackle complex data challenges with innovative solutions.
• You have a healthy balance of perfectionism and practicality. You are comfortable starting with an MVP but have a grand plan in your head for how to scale and optimize over time.
• You are concise. You effectively convey complex data insights to non-technical stakeholders, ensuring clarity and understanding.
• You are engaging. You are comfortable presenting insights to executives and can tailor your communication style to resonate with different audiences.
• You enjoy engaging with stakeholders. You are skilled at expectation-setting and building strong relationships to ensure alignment on goals and deliverables.
• You are curious. Analyzing data across different functions is rewarding for you, and you continuously seek out new ways to deepen your understanding.
• You are detail-oriented. You meticulously check your work to ensure accuracy and integrity in your analyses and reports.
• You are thorough. You are disciplined in documentation, ensuring that data analysis processes, insights, and results are positioned for knowledge sharing and future reference.
• You are self-motivated and proactive. You identify opportunities for improvement and recommend data-driven strategies without being asked, driving projects forward independently.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
• 3+ years of hands-on experience with a modern data stack, including dbt, Snowflake, Mode, and Stitch
• SQL proficiency
• Extensive experience in analyzing and interpreting SaaS metrics
• Experience working with Stripe data model
• Strong expertise GTM analytics, including account-based analytics, product-led sales, and marketing analytics 
• Familiarity with Product Led Growth (PLG) business models

If you are a self-driven individual with a passion for data analytics, a strong background in the modern data stack, and experience working in a dynamic environment with diverse stakeholders, we encourage you to apply for this exciting opportunity! Join us and be part of a team that values collaboration, innovation, and data-driven decision-making to drive business growth through the power of data insights.

Benefits

• Flexible vacation policy and a fully remote work policy
• 100% Medical/Dental/Vision insurance covered for the employee / 60%-65% covered for dependents
• Comprehensive 401K program
• FSA and Commuter Benefits
• Competitive Equity with a 4 year vesting schedule
• Life / AD&D and Disability Coverage
• Parental leave for birthing or non-birthing parents - specific to each state / 60% coverage under company secondary insurance for birthing parent