Internal Tools & Data Product Analyst

Who you are

• Early-career product, business operations, analytics, or technical program management experience
• Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants)
• Some exposure to designing a workflow or tool from the end user's point of view, not just the data behind it
• A track record of shipping something — a tool, a process fix, an internal script — rather than only recommending one
• End-user experience judgment: can tell the difference between a technically correct dashboard/tool and one people will actually use
• Prioritization: can weigh impact against effort across a noisy backlog
• Lightweight execution: comfortable using AI-assisted coding tools to ship small things directly
• Cross-functional relationship building
• Clear written communication (specs, roadmaps, requirements)

What the job involves

• As companies scale, the gap between what leadership needs to see and what teams can easily report grows — dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved
• This role exists to close that gap: turning manual reporting into trusted, self-serve data products, finding and fixing the workflows costing teams the most time, and helping make sure the highest-impact tooling requests actually get built
• The Internal Tools & Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix
• This might mean defining what a metric actually means and getting a dashboard built around it, helping retire a spreadsheet-driven process that shouldn't exist anymore, or helping triage and prioritize a backlog of tool requests
• Some of this gets shipped directly — lightweight builds, AI-assisted coding — and the rest gets scoped into a clear spec and handed to an engineering partner
• Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one
• Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs — including how someone drills from a summary number into the underlying detail
• Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today
• Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end
• Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build
• Write clear, engineering-ready specs for anything handed off to a technical partner
• Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap
• Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort
• Help maintain a visible roadmap so stakeholders understand what's coming next and why
• Build relationships with the teams you support so priorities stay grounded in what they actually need
• Success is measured by:
• Reduction in manual, spreadsheet-driven work across supported teams
• Dashboard/reporting trust and adoption
• A tool-request pipeline that is visible, current, and trusted by stakeholders
• Time saved per reporting or workflow cycle

Benefits

• Health, dental vision
• 401k match
• 5 sick days and 12 paid holidays
• Flexible PTO
• Paid parental, medical, and caregiver leave