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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Internal Tools & Data Product Analyst - **Company:** Lambda Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Spreadsheets, SQL Databases, User Environment Management, Scripting, No-code Tools, Virtual Agents - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4ebc631fd8d56bd3 ## About the Role * 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) ## Description * 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 Role 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. What You'll Do Data 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 PROFILE Measures of Success 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 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 ## Related Videos - [JavaScript? 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