Engineering Data Analyst

Responsibilities

• Own the data maintenance and reliability of key R&D internal Pigment apps and reporting (FinOps, Engineering Metrics, AI usage/impact), including definitions and refresh cadence.
• Be accountable for R&D analytics models (documentation, maintenance, and evolution), from lightweight curated datasets to scalable handoff with central Data when needed.
• Define best practices for structuring and scaling R&D apps, including criteria for when to create a new app vs extend an existing one, and how to manage shared reference data.
• Implement automated quality checks and lightweight data contracts to ensure trusted reporting for leadership and teams.
• Enable self-serve by producing ready-to-use prompt templates and playbooks aligned to R&D's most common questions.
• Prepare leadership decision boards and recurring reporting for staffing, reporting, and hiring discussions.
• Support ad hoc, small-scope initiatives (SaaS reviews, offsite preparation), R&D All Hands, and R&D process automation efforts (e.g., onboarding access, timesheets).
• What success looks like
• Week 1-2: Understand R&D Engineering workflows, existing data sources, and current reporting gaps
• Month 1: Write an implementation proposal to re-model R&D analytics validated with modeling experts
• Months 2-3: Engineering teams and Leadership trust the R&D analytics model and leverage it for reporting systematically, thanks to prioritized coverage of R&D use cases, scheduled data routines, and automated checks
• This is not exhaustive, as other smaller tasks may be overtaken in parallel, but delivering on this objective and timeline would be considered a full, successful deliverable.

Additional Information

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. Mission Deliver high-impact analyses and data models that help R&D Engineering ship faster, operate reliably, and make better product decisions. Be a pragmatic analytics partner: iterate quickly, document clearly, and bias toward action.

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