Analytics Manager, Docker

• 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)
• 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)
• 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

Desirable

• 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
• 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
• 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 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