Staff Data Analyst

Summary

Join us for a whale of a ride! We are looking for an experienced and results-driven Senior Data Analyst to join our Product - Data & Growth team.

Requirements

• 5+ years of experience in data analysis, business intelligence, or a related field, with a proven ability to deliver impactful data solutions in fast-paced environments
• Advanced proficiency in SQL and strong experience with data warehousing and ETL/ELT processes. Familiarity with Snowflake, DBT, and Looker is highly desirable
• Strong analytical thinking with the ability to interpret data, identify trends, and generate actionable insights to inform business decisions
• Exceptional communication skills, with the ability to distill complex technical concepts for both technical and non-technical audiences
• Experience mentoring junior team members and contributing to team development. Ability to influence and lead cross-functional teams in data-driven initiatives
• Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, or Mathematics

Responsibilities

• Lead data initiatives by designing, developing, and optimizing data models and reporting structures that support the organization’s strategic objectives
• Conduct advanced data analysis, leveraging tools like Snowflake, DBT, and SQL to ensure accuracy, consistency, and actionable insights across various data sources
• Develop and maintain scalable, robust data models that enable both real-time and ad-hoc analysis, driving key business decisions
• Create, manage, and optimize dashboards and reports using Looker, providing stakeholders with clear, actionable insights
• Partner closely with business teams, data engineers, and leadership to understand and meet data needs, aligning data initiatives with broader business goals
• Provide mentorship to other analysts, fostering professional growth and encouraging best practices across the team
• Drive data quality initiatives, identifying and resolving inconsistencies while defining best practices for data governance
• Continuously refine and enhance data models, reporting pipelines, and processes to support evolving business needs and ensure scalability

Benefits

• Freedom & flexibility; fit your work around your life
• Home office setup; we want you comfortable while you work
• 16 weeks of paid Parental leave
• Technology stipend equivalent to $100 net/month
• PTO plan that encourages you to take time to do the things you enjoy
• Quarterly, company-wide hackathons
• Training stipend for conferences, courses and classes
• Equity; we are a growing start-up and want all employees to have a share in the success of the company
• Docker Swag