As a Business Analyst, you will develop analytics tools, manage data scripts, prototype AI agents, and contribute to data workflows for enhanced insights.
Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
Role Overview
Join our Sales Reporting and Analytics team to build practical, AI-powered utilities and light-weight agents that streamline analytics workflows and boost stakeholder productivity. You'll focus on Python and SQL scripting, ETL/data prep for tools like Snowflake and prototyping AI agents (Snowflake Cortex, LangChain, Databricks etc) that make it faster and easier for teams to access insights. Experience supporting Sales organization is a big plus.
What you'll do
• Build and maintain scripts: Write clean, well-documented Python and SQL to ingest, transform, and validate data for Snowflake and Power BI datasets.
• AI agent prototyping: Under mentorship, help design and prototype AI-powered tools that analyze data from multiple perspectives, uncover patterns, and deliver quicker, more actionable insights. These agents will assist with tasks such as exploring different angles of results, generating alternative views of metrics, and accelerating decision-making through automated analytics.
• LLM-ready data prep: Convert enterprise data into LLM-optimized formats (semantic model, schemas, prompt-friendly outputs), ensuring reliability, basic guardrails, and reproducibility.
• ETL + quality checks: Contribute to simple ETL pipelines, unit tests, data quality checks, and runbooks; assist in monitoring scheduled jobs and triaging issues.
• Partner closely with the Data Technology org to ensure all AI agent work aligns with our AI Agent Build Framework - following approved workflow so the AI agents stay on the right path from day one. Participate in design reviews, reuse shared components, and provide feedback that helps streamline the framework.
Qualifications
Minimum Qualifications
• 1-3 years professional experience (internships, co-ops, capstones count) in data/analytics engineering, ML/AI applications, or related fields.
• Solid Python scripting skills (e.g., data model build using common libraries, API calls) and strong SQL
• Exposure to AI agents/LLM apps through coursework, internships, hackathons, or personal projects
• Familiarity with Snowflake or Snowflake (or similar BI/cloud data platforms).
• Understanding of APIs/JSON/YAML, data structures, and software fundamentals.
• Growth mindset, attention to detail, and ability to learn from feedback and iterate quickly.
Nice to Have (Bonus)
• Experience supporting Sales analytics or familiarity with sales concepts (pipeline, bookings, opportunities) and CRM tools.
• Knowledge of semantic modeling (Snowflake, Power BI models, basic DAX) and techniques for LLM-friendly data restructuring.
• Basic cloud familiarity (Azure/AWS/GCP) and workflow tools (e.g., schedulers/orchestrators).
• Comfort explaining technical topics to non-technical partners and writing concise user docs.
• If you have an experience of building a prototype of an AI agentic model, we would like to see a demo.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
Role Overview
Join our Sales Reporting and Analytics team to build practical, AI-powered utilities and light-weight agents that streamline analytics workflows and boost stakeholder productivity. You'll focus on Python and SQL scripting, ETL/data prep for tools like Snowflake and prototyping AI agents (Snowflake Cortex, LangChain, Databricks etc) that make it faster and easier for teams to access insights. Experience supporting Sales organization is a big plus.
What you'll do
• Build and maintain scripts: Write clean, well-documented Python and SQL to ingest, transform, and validate data for Snowflake and Power BI datasets.
• AI agent prototyping: Under mentorship, help design and prototype AI-powered tools that analyze data from multiple perspectives, uncover patterns, and deliver quicker, more actionable insights. These agents will assist with tasks such as exploring different angles of results, generating alternative views of metrics, and accelerating decision-making through automated analytics.
• LLM-ready data prep: Convert enterprise data into LLM-optimized formats (semantic model, schemas, prompt-friendly outputs), ensuring reliability, basic guardrails, and reproducibility.
• ETL + quality checks: Contribute to simple ETL pipelines, unit tests, data quality checks, and runbooks; assist in monitoring scheduled jobs and triaging issues.
• Partner closely with the Data Technology org to ensure all AI agent work aligns with our AI Agent Build Framework - following approved workflow so the AI agents stay on the right path from day one. Participate in design reviews, reuse shared components, and provide feedback that helps streamline the framework.
Qualifications
Minimum Qualifications
• 1-3 years professional experience (internships, co-ops, capstones count) in data/analytics engineering, ML/AI applications, or related fields.
• Solid Python scripting skills (e.g., data model build using common libraries, API calls) and strong SQL
• Exposure to AI agents/LLM apps through coursework, internships, hackathons, or personal projects
• Familiarity with Snowflake or Snowflake (or similar BI/cloud data platforms).
• Understanding of APIs/JSON/YAML, data structures, and software fundamentals.
• Growth mindset, attention to detail, and ability to learn from feedback and iterate quickly.
Nice to Have (Bonus)
• Experience supporting Sales analytics or familiarity with sales concepts (pipeline, bookings, opportunities) and CRM tools.
• Knowledge of semantic modeling (Snowflake, Power BI models, basic DAX) and techniques for LLM-friendly data restructuring.
• Basic cloud familiarity (Azure/AWS/GCP) and workflow tools (e.g., schedulers/orchestrators).
• Comfort explaining technical topics to non-technical partners and writing concise user docs.
• If you have an experience of building a prototype of an AI agentic model, we would like to see a demo.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Top Skills
Ai Agents
AWS
Azure
Databricks
GCP
JSON
Llm Apps
Power BI
Python
Snowflake
SQL
Yaml
ServiceNow Denver, Colorado, USA Office
1800 Wazee St, Suite 300, Denver, CO, United States, 80202
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