Full-Time

Staff Data Analyst

Confirmed live in the last 24 hours

Docker

Docker

501-1,000 employees

Containerization platform for application development

Consumer Software
Enterprise Software

Senior

No H1B Sponsorship

Remote in Canada

Category
Data Analysis
Data & Analytics
Required Skills
SQL
Looker
Data Analysis
Snowflake
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.
  • A meticulous approach to data, ensuring accuracy and reliability in all deliverables, while maintaining a high standard of data quality.
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.

Docker offers a containerization platform that enables developers to build, share, and run applications in isolated environments called containers. These containers package applications with their dependencies, ensuring they work consistently across different stages of development and deployment. Docker differentiates itself from competitors by streamlining the development process and enhancing collaboration, with a freemium business model that includes various subscription tiers and services like Docker Hub and Docker Desktop. The company's goal is to improve deployment efficiency for developers and enterprises alike.

Company Stage

Series C

Total Funding

$484.3M

Headquarters

Palo Alto, California

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

26%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Docker's acquisition of AtomicJar enhances its testing capabilities.
  • Growing demand for edge computing aligns with Docker's lightweight container solutions.
  • Integration with Kubernetes boosts Docker's relevance in container orchestration.

What critics are saying

  • Increased competition from Kubernetes may impact Docker's market share.
  • Alternative container runtimes like Podman pose a threat to Docker's dominance.
  • Security vulnerabilities in Docker containers could undermine platform trust.

What makes Docker unique

  • Docker offers a comprehensive platform for building, sharing, and running applications.
  • Docker's containerization ensures consistency across development and deployment stages.
  • Docker integrates with leading tools, enhancing collaboration and deployment efficiency.

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