Senior Data Analyst
Overview
Docker is a remote first company with employees across Europe, APAC and the Americas that simplifies the lives of developers who are making world-changing apps. We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year. Join us for a whale of a ride!
Job Description
We are looking for an experienced and results-driven Senior Data Analyst to join our Product - Data & Growth team. In this role, you will play a critical part in shaping Docker’s data strategy by leading the design, development, and optimization of data models, reports, and dashboards that support strategic business goals. You will collaborate with cross-functional teams to drive data-driven decision-making across the organization and mentor junior analysts to foster a culture of continuous learning.
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
Required Skills
- - 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
- - Bachelor''s or Master''s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, or Mathematics
- - A meticulous approach to data, ensuring accuracy and reliability in all deliverables, while maintaining a high standard of data quality
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
- - Medical benefits, retirement and holidays vary by country
About the company
Docker provides a suite of development tools, services, trusted content, and automations, used individually or together, to accelerate the delivery of secure applications.