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!
Product team at Docker is looking for a Senior Product Data Analyst. You will help to transform billions of data points generated from Docker products and services into actionable insights to directly influence product strategy and development. You will leverage your analytics, reporting, and communication skills to support the Product Development teams in making data informed decisions.
In this role, you'll help design and implement data models that support mission-critical reporting and analysis. You will partner with data engineers, analysts, product managers, UX researchers, and subject matter experts to deliver impactful reporting and analytics using tools such as Snowflake, Looker, Segment, Heap and dbt. You will participate in high-visibility projects and directly influence product development and process optimization, building out self-serve analytic capabilities in areas such as product usage, active users, and cohort analysis. You’ll also help the team analyze market opportunities. As the company grows, you will establish and promote data standards, best practices and help train and onboard new team members.
Responsibilities:
Design, build and automate business metrics into self-serve dashboards via Looker
Collaborate with product managers and analysts throughout the company to deliver reliable reports, transformed data sets, and self-serve dashboards that power actionable insights
Create and maintain documentation for data sources including data dictionaries, common business data language, data nuances, and tracking aggregate tables.
Present data insights and deliver presentations with the goal of educating and championing a data informed culture.
Applying your expertise in quantitative analysis to see beyond the numbers and provide actionable insights
Conducting exploratory data analysis including hypothesis testing, statistical inference and statistical analysis
Build and maintain reports, dashboards and metrics, in addition to monitoring the integrity and validity of the data reported.
Qualifications:
3+ years of experience in a product data analytics related role examining user journeys, customer segments, retention patterns and identifying opportunities
Comfort in ambiguity and building pathways to clarity
Experience working with a Data Warehouse platform (e.g. Snowflake, Redshift, BigQuery, AWS Athena, or Spectrum)
Experience with Product Analytics tools (e.g. Heap, Amplitude, Mixpanel etc)
Ability to write, improve, and troubleshoot complex SQL queries
Analytical background and experience in querying and transforming data to compute metrics and conduct a variety of analyses to inform decisions
Experience working in Python or R to perform statistical analysis
Experience building dashboards in a modern business intelligence tool (e.g. Looker, Tableau, or PowerBI)
You can explain complex ideas simply.
You have effective written, verbal, and visual communication skills.
What to expect in the first 30 days:
Onboard and meet the Business Unit teams, attend team meetings and start building a mental model of Docker’s business model current business/analytics opportunities
Get up to speed on our data stack, pipelines and data/financial models, dashboards and key metrics
What to expect in the first 90 days:
Contribute meaningfully to the BU by taking full ownership of Business Unit’s reporting deliverables
Drive and deliver product insights on current and future products and ad-hoc projects and analysis
Recommend opportunities for continuous improvement across the Business Unit and broader Data teams at Docker
Partner with our UX research team to provide insights from Docker users
What to expect in the first year:
Play a pivotal role in Docker’s future growth, building the foundation to enable world-class product analytics and insights as we scale. The true opportunity of this role goes beyond just what you’ll solve for at Docker, we are leveraging the modern data stack to prescribe world-class solutions for the product analytics challenges all high-growth software companies are facing.
Perks:
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
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
Due to the remote nature of this role, we are unable to provide visa sponsorship.
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