Senior Data Analyst at Beautiful.ai | Torre

Senior Data Analyst

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Full-time

Legal agreement: To be defined

Base compensation
USD105k - 140k/year

+ Health insurance

location_on
Remote (anywhere)
Posted almost 3 years ago

Responsibilities


Beautiful.ai is changing the way the world presents by building fast, foolproof tools that enable anyone to tell visual stories that win. The 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, they find unique opportunities to get to know each other personally, while delivering on their goals. Data-driven decision making and an outcomes-focused mindset are core to their way of working. Beautiful.ai is looking for an experienced and versatile Senior Data Analyst to join their team. The role offers an opportunity for tremendous impact and is best suited for a self-starter who excels at tackling both concrete and ambiguous problems. The Senior Data Analyst will play a key role in providing behavioral and growth analytics insights, leveraging a modern data stack and expertise in data analysis, advanced visualization, custom attribution modeling, and event tracking. This role reports directly to the Head of Product and Growth and will be responsible for data insights across the organization. Responsibilities: - Employ the modern data stack to transform raw data into actionable insights, develop data pipelines, and build data models - Collaborate with teams across the organization to understand their data needs, provide insights, and assist in making data-driven decisions - Utilize a strong background in SaaS metrics to track and analyze key performance indicators (KPIs) - Utilize API calls into Stripe and various marketing data endpoints for seamless data retrieval and integration into analytical workflows - Implement custom attribution models to measure the impact of marketing initiatives accurately - Collaborate on the framework for A/B testing experiments, report on test outcomes, and provide recommendations based on test results - Define and implement event tracking mechanisms to capture user behaviors and interactions - Demonstrate discipline in documentation, ensuring that data analysis processes, insights, and results are well-documented for knowledge sharing and future reference - Evaluate the current data infrastructure and propose recommendations and cost-saving opportunities to enhance data processing, storage, and analysis capabilities - Leverage experience working with Product Led Growth (PLG) business models to assess product usage and user behavior to identify opportunities for optimization - Create compelling and insightful visualizations to effectively communicate complex data relationships and trends