Data Analyst, Docker
$97.6-122k
+ Equity
More information about location
App development platform
Job no longer available
App development platform
501-1000 employees
Job no longer available
$97.6-122k
+ Equity
More information about location
501-1000 employees
Company mission
To increase the time developers spend on innovation, and decrease the time they spend on everything else.
Role
Who you are
- This is an excellent opportunity for someone who is passionate about data, enjoys problem-solving, and is eager to contribute to a growing data team
- Experience: 2+ years of experience in data analysis, business intelligence, or a related field, with a proven ability to work in fast-paced, cross-functional environments
- Technical Expertise: Proficiency in SQL and familiarity with data warehousing concepts. Experience with tools like Snowflake, DBT, and Looker is a plus
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights
- Communication: Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences
- Education: Bachelor’s degree in a relevant field such as Computer Science, Statistics, Economics, Mathematics, or a related discipline
- Attention to Detail: A meticulous approach to data analysis, ensuring accuracy and reliability in all deliverables
- Learning Mindset: A self-starter with a passion for continuous learning and improvement, eager to grow within the data team
What the job involves
- We are looking for a motivated Data Analyst to join our Product - Data & Growth team. In this role, you will be responsible for analyzing and transforming data from various sources, developing and maintaining data models, and creating insightful reports and dashboards that drive business decisions.
- You will work closely with cross-functional teams to ensure data accuracy and provide actionable insights that support key initiatives across the organization
- You will have the opportunity to collaborate with senior analysts and engineers, learning from them while also contributing to Docker’s data-driven culture
- Data Analysis and Transformation: Analyze and transform data using tools like Snowflake and DBT, ensuring the accuracy and integrity of data across various sources
- Data Modeling: Assist in the development and maintenance of data models that support both ongoing and ad-hoc analysis, enabling the team to make informed decisions
- Reporting and Dashboarding: Create and manage comprehensive dashboards and reports using Looker, providing clear and actionable insights to stakeholders
- Collaboration: Work closely with senior analysts, data engineers, and business stakeholders to understand data requirements and contribute to data solutions that address business needs
- Data Quality: Help maintain high standards of data quality by identifying and addressing data inconsistencies and errors
- Documentation: Contribute to the development of user-facing documentation for key data processes, metrics, and models to support the data-driven culture within Docker
- What to expect in the first 30 days:
- Get to know Docker! Familiarize yourself with our vision, mission, values, and product
- Complete all required onboarding and training sessions
- Gain access to necessary systems, databases, and platforms
- Shadow team members to learn about our development workflows and key data assets
- Begin working on initial data analysis tasks, focusing on understanding existing data models and reports
- What to expect in the first 90 days:
- Achieve a solid understanding of key data models, dashboards, and reporting structures
- Take ownership of smaller data analysis projects, contributing to the development and maintenance of data models and reports
- Collaborate with senior analysts on more complex tasks, learning best practices and advanced techniques
- Contribute to the improvement of data quality by identifying and resolving inconsistencies in datasets
- Begin creating documentation for key data processes and metrics, supporting the team’s data-driven initiatives
- What to expect in the first year:
- Take on larger, more complex data analysis projects, driving them from inception to completion
- Develop and maintain comprehensive dashboards and reports that provide valuable insights to stakeholders
- Continuously improve data models and reporting processes, ensuring they meet the evolving needs of the business
- Collaborate with cross-functional teams to deliver data solutions that support key business initiatives
- Establish yourself as a key contributor to the data team, actively participating in the growth and success of Docker’s data-driven culture
Our take
Docker supplies a hub and desktop solution to simplify the workflow of app development teams. Originally known for popularising the idea of containerising software, it saw itself outpaced by Kubernetes. However, the company has identified a problem with the growing complexity of containerisation, with some apps consisting of dozens or even hundreds of containers - which is what it now addresses.
Docker has had a difficult time in the recent past, with 2019 seeing it sell off its enterprise business, reduce its workforce by hundreds, and change its leadership team. As a well known brand and ecosystem for containerisation, however, it aims to lure developers back to its product as well as to take advantage of the growing global demand for app development.
Returning to focus on developers rather than large companies was certainly a gamble, but one that seems to have paid off. The company has returned to profitability and raised Series C funding in 2022, which is cited to fund hiring new talent, ramping up its business, and continuing to develop and refine its product. It's also embarked on a series of acquisitions to
Steph
Company Specialist
Insights
Company
Funding (last 2 of 10 rounds)
Mar 2022
$105m
SERIES C
Mar 2021
$23m
SERIES B
Total funding: $497.9m
Company benefits
- 100% company paid medical premiums for employees and dependents
- Flexible Time Off Policy
- “Whaleness” Days — At least 1 company wide day off per month
- Employer Paid Holidays
- Generous Maternity and Parental Leave
- Home Office Set Up Budget
- Monthly Technology Stipend
- Training Allowances
- Life and Disability Insurance
- Retirement Plans
- Virtual and In-Person Social Events
- Docker Swag
- Quarterly Hackathons
- Virtual Coffee with Co-Workers
Company values
- Humility - We give credit rather than seeking it. We’re always open to feedback and correction. We don’t assign blame when something goes wrong, but learn from it together
- Developer Obsession - We understand developers, we put developers’ priorities first, and we never get in their way. We succeed by making developers happy and productive
- Open Collaboration - We’re very open internally about what’s going on, good and bad. Almost all documents and conversations are visible to everyone. Transparency is key. We help each other’s teams and departments, rather than building our own empires
- Bias for Considered Action - We don’t do things carelessly or without thinking, but we want to move fast, and we encourage our employees to act proactively and autonomously. We prefer to take action sooner, and iterate or correct as necessary. Experiments are good
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
Scott Johnston
(CEO, not founder)Has been COO and CPO with Docker prior to CEO role. Before that was VP, Marketing & Product at Puppet and a Venture Partner at Alloy Ventures.
Diversity & Inclusion at Docker
- Docker embraces diversity and we’re wholeheartedly committed to being proactive in promoting diversity across our organization. We’re dedicated to establishing an organization that reflects the fundamental respect for different ways of working and living, and we assure every Docker employee the opportunity to reach his or her full potential.
- Current Employee Groups (with more to come!): Women ERG, Mental Health ERG, DEI Council
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