Snowflake9 дней назад
Senior / Staff Analyst, Tax - Finance Analytics & AI
Зарплата не указана
Полная занятостьУдалёнка
Обязанности
- 01Partner directly with Tax leadership to re-engineer core tax processes—including compliance, risk identification, and global reporting—into automated, 'AI-first' workflows
- 02Design and deploy agentic tools using CoCo and CoWork that reduce manual data gathering, allowing the team to shift focus from data preparation to strategic decision-making and exception handling
- 03Write and iterate on prompt & skill structures (YAML + Markdown skill files) based on output quality and stakeholder feedback
- 04Build a unified data and knowledge layer that serves as a single source of truth for all tax-relevant information
- 05Transform fragmented data sources into clean, reconciled datasets, and create an 'AI tax brain' that encodes tax laws, internal playbooks, and regulatory updates to enable instant, accurate analysis across domestic and international tax workflows
- 06Support risk assessment models and compliance reporting pipelines
- 07Own semantic layers end-to-end — model design, versioning strategy, verified query coverage, and accuracy iteration based on eval metrics; maintain the contract between the model and its consumers across each tax cycle
- 08Develop and deploy production tax dashboards as Streamlit apps (locally and deployed to Snowflake)
- 09Build customer-facing demo applications for Sales and Field teams
- 10Apply reusable component patterns and shared utility libraries for consistent, polished UI
- 11Participate in tax filing cycles — automating tax filings, data reconciliation, and audit-ready reporting
- 12Build and maintain source-of-truth reporting exports (multi-tab Excel, formatted to spec)
- 13Support ad-hoc disclosure and tax audit data needs
Требования
- 01AI-assisted development — experience using an LLM coding assistant (CoCo, Cursor, GitHub Copilot, Claude, or equivalent) as primary development tool; ability to write prompts that produce production-ready output, steer models, encode domain logic into reusable parameterized skill; measurable trackable record of daily AI usage
- 02Prompt engineering and skill authoring — ability to write a structured prompt (YAML + Markdown or equivalent) that routes correctly 95% of the time, handles edge cases gracefully, and encodes enough domain knowledge that the model behaves like a subject matter expert
- 03Python — modern, type-hinted, readable; ability to write Python-based applications, data pipelines, and reporting automation; understanding of caching, session state, and structuring multi-page apps; experience contributing to shared libraries or packages and designing agent orchestration systems including parallel agent patterns with synthesis layers
- 04SQL — proficiency with CTEs, window functions, incremental pipeline patterns; comfortable with row-numbered deduplication syntax
- 05Data modeling fundamentals — understanding of bronze, silver, and gold data models conceptually; ability to contribute to gold layers and translate to semantic layer; skill in versioning models, evaluating SQL generation accuracy, maintaining verified query libraries, and iterating based on real tax analyst feedback
- 06Snowflake Cortex (strong plus) — experience with Snowflake Cortex
Условия
- 01Location Type: 3 Days in Menlo Park Office