Public is looking for a Senior Data Analyst / Analytics Engineer to build a strong foundation for decision-making across the company, enabling self-serve analytics and turning data into actionable insights to improve operations at scale.
Requirements
- Expert SQL techniques for data transformation, querying, and optimization
- Familiarity with Python or another scripting language for data analysis and automation
- Strong understanding of modern data architecture (data lake/warehouse) and experience working with modern data stack tools such as dbt, Snowflake, Airflow, Fivetran, Looker, Hightouch, or similar
- Bonus: Experience using AI/LLM tools to enable faster, smarter analytics workflows
Responsibilities
- Build trusted, scalable data models that serve as the foundation for analytics and reporting across the company
- Develop clear reporting and dashboards to drive performance visibility and accountability across teams
- Conduct in-depth analyses to evaluate feature usage, business performance, and customer behavior
- Design, analyze, and interpret A/B tests and other experiments to support data-driven product decisions
- Own key data pipelines and contribute to the overall health and architecture of our data analytics stack, including peer code reviews
- Explore and implement use cases for AI and large language models (LLMs) to improve how teams access and generate insights from data
Other
- Partner with stakeholders across product, design, engineering, brokerage, and finance to uncover insights and support strategic initiatives
- Strong business acumen and the ability to translate complex data into clear recommendations
- A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business and driving enterprise value
- Strong communicator who can collaborate effectively with technical and non-technical stakeholders
- Organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment
