• 5+ years of experience in data analysis / business intelligence in cross-functional and fast-paced environments
• Proficiency with Snowflake (or similar modern DW platform), DBT, and Looker
• Strong data modeling skills with a solid understanding of data warehousing concepts
• Excellent interpersonal and stakeholder management skills, with the ability to interact directly with multiple stakeholders across various levels of the organization
• Strong project management knowledge, including the ability to manage multiple priorities, track and communicate progress effectively
• Experience with agile methodologies, particularly scrum (sprint-based workflows) and kanban (JIT / capacity based workflows)
• Proficiency in spreadsheet tools (Excel, Google Sheets) for data analysis and reporting
• Experience mentoring and leading junior analysts
• Excellent complex problem-solving skills and attention to detail
• Self-starter with the ability to work independently and as part of a team

Desirable

• The Senior Data Analyst will analyze and transform data from various sources using tools like Snowflake and DBT, developing and maintaining robust data models that support ongoing and ad-hoc analysis
• You will be responsible for creating and managing comprehensive dashboards and reports using Looker, effectively communicating findings to corresponding stakeholders
• Acting as a primary point of contact for data-related inquiries, you will gain a deep understanding of stakeholder challenges, help triage and prioritize their requirements, provide timely and accurate insights, and set clear timelines and expectations to ensure success
• In this role, you will mentor and guide junior analysts, fostering a collaborative and learning-oriented environment
• You will share best practices with the team, drive continuous improvement through peer reviews and pair programming sessions, and proactively manage and track your progress on any initiatives you lead
• This includes refining complex, ill-defined questions and objectives, owning the success of your projects from inception to completion, proactively tracking your work in a timely manner, creating tickets in our product backlog for upcoming sprints, and defining, scoping, and delegating milestones for junior team members to support you
• Additionally, you will utilize reverse ETL tools like Census to integrate insights directly into our operational systems, stay current with industry trends and technologies to continuously enhance our data capabilities, and help improve self-serve analytics and our data-driven culture by building robust user-facing documentation inside our Analytics Knowledge base for documenting key processes, metrics, and conceptual data models to ease understanding and foster alignment across the organization
• This role reports to the Data Insights Lead inside our Business Systems team
• Analyze and transform data using Snowflake and DBT
• Develop and maintain robust data models for ongoing and ad-hoc analysis
• Create and manage comprehensive dashboards and reports using Looker
• Act as the primary point of contact for data-related inquiries
• Deeply understand stakeholder challenges and help prioritize their requirements
• Mentor and guide junior analysts, fostering a collaborative environment
• Share best practices, drive continuous improvement, and conduct peer reviews
• Scope and track progress on initiatives, refining complex questions and objectives
• Track work proactively and contribute to our product backlog
• Utilize reverse ETL tools for operational system integration
• Build user-facing documentation for key processes, metrics, and data models
• What to expect in the first 30 days:
• Get to know Docker! Vision, mission, values and product offering
• Complete all required onboarding and training sessions
• Gain access to necessary systems, databases, and platforms
• Familiarize yourself with our tech stack and internal processes
• Shadow team members to learn about our development workflows
• Meet with key stakeholders and team members to understand projects and OKRs
• Perform basic ad-hoc analytics tasks and review our documentation to become familiar with key data assets
• What to expect in the first 90 days:
• Achieve a working understanding of key data models, dashboards and reports
• Take ownership of key analytics projects, all the way from inception to delivery
• Provide regular mentorship and support to junior analysts
• Participate in peer reviews and pair programming sessions
• Build and update documentation for key processes, metrics, and data models
• Triage incoming requests, flesh them out and help spread across junior team members
• Actively participate and lead complex modeling initiatives like central data remodeling
• Foster a collaborative team environment by sharing best practices and encouraging teamwork
• Build, manage and strengthen relationships directly with key stakeholders
• Remap all operational and RevOps dependencies to central data models
• What to expect in the first year:
• Identify and address any gaps or inconsistencies to improve data quality and reliability
• Help design and adopt more robust data governance practices
• Lead the creation of an analytics knowledge base that serves as the single source of truth for key metrics, definitions, and data processes
• Collaborate to define and standardize key metrics and dimensions in the semantic layer
• Lead a small analytics team independently, managing team priorities, timelines, and deliverables
• Directly contribute to the development and refinement of our long term data strategy