Finance Analytics Analyst

Analyst, Finance Analytics

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

As a Business Intelligence Analyst, you will work at the intersection of data, AI, and finance, building intelligent tools, workflows, and applications that replace manual analysis with scalable, AI-driven systems. You will design workflows, write prompts, build applications, and ensure outputs are accurate before they reach stakeholders.

WHAT YOU’LL DO

1. Build AI-powered workflows and tools (Primary Focus)

• Design and build agentic experiences and reusable AI workflows (skills) that encode repeatable finance workflows

• Write and iterate on structured prompts (YAML, Markdown, or equivalent) to improve output quality

• Build tools that allow non-technical users to generate high-quality outputs from simple inputs

• Evaluate and validate AI-generated outputs before they are used in decision-making

2. Develop data and analytics foundations

• Build and improve semantic data models for natural language querying

• Work with Snowflake, dbt, and Airflow to support scalable data pipelines

• Maintain reliable, source-of-truth reporting outputs

3. Drive end-to-end analytics and stakeholder delivery

• Partner with finance and technical stakeholders to identify use cases across analysis, reporting, and workflow automation

• Translate business needs into scalable data models, pipelines, and AI-driven solutions

• Build reusable, scalable applications using Streamlit (or similar frameworks) to develop internal tools and demo applications that showcase Snowflake-native use cases, applying shared components and design patterns.

• Ingest, validate, and model data from core systems to build reliable analytics foundations

• Analyze data to answer key business questions and build apps/tools for ongoing, self-serve insights

• Support user testing, QA, and iteration to ensure outputs meet stakeholder needs

• Maintain clear documentation for data models, metrics, and workflows

• Identify gaps in processes, data, or systems, and drive improvements

WHAT WE’RE LOOKING FOR

Core skills

• 3+ years of experience in Data Analytics, BI, or BI Engineering

• Strong SQL skills for analysis, data transformation, and building scalable datasets

• Strong Python skills (pandas, numpy) for data processing and application development

• Experience working with modern data platforms (e.g., Snowflake, BigQuery, Redshift etc.)

• Experience working with tools such as dbt, Airflow, and Git

• Solid understanding of data modelling and building datasets for self-serve analytics.

AI-Native Expectations

We are specifically hiring candidates who actively build with AI.

AI-assisted development (daily usage)

• You use an LLM coding assistant (e.g., Copilot, Cursor, Claude, or equivalent) as your primary development tool

• You can:

  • Write prompts that generate usable, production-ready code

  • Steer and refine outputs when the model goes off-track

  • Encode reusable logic into structured workflows or tools

Prompt engineering & structured thinking

• You can design structured prompts (YAML, Markdown, or similar) that:

  • Produce reliable outputs consistently

  • Handle edge cases and ambiguity

  • Encode domain knowledge through context, examples, and constraints

Ways of Working

• You turn ambiguous problems into clear, structured outputs

• You think in workflows and reusable systems, not one-off analyses

• You move quickly while maintaining a high bar for accuracy

• You communicate effectively with both technical and non-technical stakeholders, including senior leaders

• You are comfortable working in fast-paced, ambiguous environments and prioritizing effectively

• You have a strong ownership mindset and bring structure and clarity to complex problems

• You have high attention to detail and a strong focus on data quality

NICE TO HAVE

• Experience with finance, accounting, or supporting finance stakeholders

• Experience building internal tools or user-facing data applications

• Familiarity with semantic layers or natural language querying systems

• Familiarity with ERP or financial planning systems

• Experience working in agile environments (sprints, iterative development)

• Experience with Streamlit or similar app frameworks

• You demonstrate a bias for action and focus on delivering outcomes

WHAT SUCCESS LOOKS LIKE (FIRST 3 MONTHS)

• Build and deploy at least one AI-driven workflow or tool used by finance stakeholders

• Contribute to or deploy a semantic model enabling self-serve analysis

• Automate at least one recurring finance or reporting workflow

• Deliver outputs that stakeholders trust and use in decision-making

WHY JOIN THIS TEAM?

Joining this team means working at the frontier of AI-native analytics, where you will help define how agentic workflows reshape the future of finance operations at one of the most innovative data companies in the world. You will have the opportunity to build tools that are actually used — by real stakeholders, at scale — and see the direct impact of your work on how decisions get made.

If you’re excited about building AI-driven systems, working with modern data tools, and solving ambiguous business problems, this role offers a strong opportunity to grow.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Experience Level

Mid Level