Analytics Manager

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

We are looking for a highly technical Analytics Manager, GTM to own and evolve the analytics experience for our Sales organization in a product-led growth (PLG) environment.

This role is responsible for building and owning dashboards that help Sales reps identify where to generate pipeline within their accounts, whether through expansion, upsell, or converting self-service usage into sales-led opportunities. These dashboards are not for reporting—they are tools that enable reps to take action.

This is a hands-on role for someone who excels at SQL and dashboard development, and takes ownership of ensuring data is not only accurate, but directly usable by the field to drive pipeline.

Responsibilities

• Own the end-to-end lifecycle of GTM dashboards from development to iteration, adoption, and ongoing support

• Build and maintain dashboards that help Sales reps identify where and how to generate pipeline within their accounts

• Revamp product and account-level dashboards to surface high-signal insights (e.g., expansion opportunities, product adoption gaps, self-service to sales-led conversion signals)

• Translate product usage and account data into clear, actionable insights that reps can use for prospecting and account planning

• Write complex SQL across Salesforce, Snowflake, and other GTM data sources, combining and transforming data into clean, reliable datasets that power dashboards and drive Sales decisions

• Act as the primary point of contact for Sales analytics, answering questions, troubleshooting issues, and refining dashboards based on real user feedback

• Partner directly with Sales reps and leaders to understand workflows and ensure dashboards align with how the field operates

• Continuously improve dashboards to make them more intuitive, actionable, and embedded into the Sales process

• Ensure consistency and accuracy of key metrics in partnership with RevOps and Finance

Qualifications

• Core Requirements (Technical + Dashboard Ownership)

• 5+ years of experience in Analytics, BI, or Sales/GTM Analytics roles

• Advanced SQL skills (complex joins, aggregations, window functions, working with large datasets)

• Strong experience building and owning dashboards in BI tools (Sigma, PowerBI, Tableau, etc.)

• Deep familiarity with Salesforce (SFDC) data (accounts, opportunities, pipeline, activities)

• Experience working with a data warehouse (Snowflake preferred)

Product-Led Growth & Account Insights

• Experience working with product usage data and applying it to GTM use cases

• Ability to translate product signals into actionable insights for Sales reps (e.g., expansion, upsell, activation opportunities)

• Experience building dashboards that support account prioritization, prospecting, or pipeline generation

• Understanding of SaaS growth motions (self-service → sales-led, expansion within accounts)

Ownership & Execution

• Proven experience owning dashboards end-to-end (build, iterate, support, drive adoption)

• Comfortable working directly with Sales reps and leadership to gather feedback and refine solutions

• Strong focus on usability and building tools that are intuitive and actually used

• Ability to balance speed with accuracy and scalability

• Strong attention to detail and commitment to data accuracy

What Sets You Apart

• You take ownership: you don’t just build dashboards, you ensure they are used and trusted

• You build tools that Sales reps actually use to generate pipeline—not just view metrics

• You think in terms of “what action should this drive?”, not just “what does this show?”

• You are highly technical and enjoy working in SQL and data

• You are responsive to the field and comfortable supporting Sales in real time

What This Role Is (and Is Not)

This role is:

A hands-on builder role focused on SQL and dashboards

Focused on pipeline generation through account and product insights

Highly interactive with Sales reps and frontline leaders

This role is not:

A data engineering role (no pipeline or backend ownership)

A pure strategy role without hands-on work

Why This Role

This role offers the opportunity to directly impact how Sales teams generate pipeline in a product-led growth model. You will own the tools that connect product usage and account insights to real revenue opportunities, shaping how the field prioritizes and executes.

What to Expect

First 30 Days — Learn and Assess

• Ramp on Salesforce, Snowflake, and existing dashboards

• Understand Sales workflows, product usage data, and pipeline generation motions

• Identify gaps in current dashboards (usability, accuracy, actionability)

• Build relationships with Sales, RevOps, and Data teams

• Support ad hoc requests to gain context and credibility

First 60 Days — Build and Iterate

• Take ownership of key dashboards and begin improving them based on feedback

• Build or enhance dashboards focused on pipeline generation (expansion, usage signals, account prioritization)

• Establish feedback loops with Sales to refine usability

• Ensure core metrics align with RevOps and Finance

First 90 Days — Drive Adoption and Impact

• Deliver dashboards that Sales actively use to generate pipeline

• Improve clarity and actionability of insights

• Partner with Sales leadership to align dashboards with workflows

• Reduce ad hoc requests through scalable, self-serve solutions

Docker does not offer visa sponsorship for this role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.

Please see the independent bias audit report covering our use of Covey here.

Perks

• Freedom & flexibility; fit your work around your life

• Designated quarterly Whaleness Days plus end of year Whaleness break

• Home office setup; we want you comfortable while you work

• 16 weeks of paid Parental leave (after 6 months of employment)

• Technology stipend equivalent to $100 USD net/month

• PTO plan that encourages you to take time to do the things you enjoy

• 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

• Remote-first culture, with offices in Seattle and Paris

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.

#LI-REMOTE