Staff Data Analyst

Strong knowledge of SQL (preferably Databricks, Snowflake, or Redshift) Experience with data quality best practices and building data models in dbt Experience using Python (numpy, pandas, sklearn, etc.) for exploratory data analysis or predictive modeling Proven leadership and track record of shipping improvements with product or GTM teams Proven ability to influence senior decision-makers with data-driven insights Strong perspective on using the appropriate data solution for the business need Strong perspective on scaling analytics solutions across a company Ability to thrive in a fast-paced, constantly improving, start-up environment Growth mindset and flexibility to adapt to changing technology and workflows

Facilitate data-informed decision-making across the organization Partner with leaders to understand business problems and own data-driven solutions lifecycle Collaborate with Product, Research, Customer Success, and Rev Ops to provide data products Work with data engineers to build new Lake House in Databricks Increase impact by learning and evolving workflows with AI technology Enable stakeholders to have bigger impact through AI in analytics workflows Be a leader in data best practices and mentor team members