• We're looking for a Staff Data Analyst to join our team and help us mature the Analytics function at Jellyfish
• You'll work closely with a wide range of stakeholders to understand business problems across Jellyfish and provide insights, data products and platforms that drive data-informed decision making
• Most importantly, you'll be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners
• Facilitate data-informed decision-making across the organization
• Partner with leaders at all levels to understand important business problems, then own the full lifecycle of data-driven solutions: analysis, metric definitions, transformation pipelines in dbt, experimentation, measurement, and data story-telling
• Collaborate with Product, Research, Customer Success, and Rev Ops to provide data products allow them to better measure the impact of their work and find new opportunities
• Work with data engineers on our team to help build our new Lake House in Databricks and document vital context about our data that can be used by both stakeholders and AI tools
• Increase your impact by continuously learning and evolving your workflows as AI technology matures
• Form opinions that help Jellyfish support its customers in their AI journeys
• Enable your stakeholders to have a bigger impact through the use of AI in their own analytics workflows
• As necessary, build the data tools they need, be their expert-in-the-loop, or influence them to adopt new workflows

Be a leader in data best practices across the Research team and Jellyfish; mentor other team members to help in their growth

• 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.) across exploratory data analysis or predictive modeling
• Proven leadership and a 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 at hand
• Strong perspective on scaling analytics solutions across a company for both technical and non-technical users
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
• Growth mindset and flexibility to adapt to changing technology and workflows
• User interaction data and product usage analytics
• A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us
• Occasional travel may be required

Applicants must be authorized to work for any employer in the US