*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
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.
About This RoleThe 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.
What You'll DoData Products & Reporting- 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.
Workflow Automation- 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.
Intake & Prioritization- 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 PROFILEMeasures of SuccessSuccess 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
You- 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
Core Competencies- 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)
Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
