ServiceNow Security Organization (SSO) - Data Informatics Analyst Intern at ServiceNow

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

43.04

Posted On

20 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Excel, Machine Learning, Data Visualization, PowerBI, Tableau, Data Science, SaaS Analytics, Subscription Models, Business Acumen, Predictive Analytics, Ad-Hoc Analyses, Data Engineering, Problem Solving

Industry

Software Development

Description

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 Company Description ServiceNow is making the world of work, work better for people. Our cloud-based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We're growing fast, innovating faster, and making an impact on our customers' and employees' lives in significant and important ways. With over 6,900 customers, we serve approximately 80% of the Fortune 500, and we're on the 2020 list of FORTUNE World's Most Admired Companies.® We’re looking for people who are ready to jump right in and help us build on our incredible momentum, our diverse, engaged workforce, and our purpose to make the world of work, work better. The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. Data Informatics Analytics Intern (Masters Level) As an integral member of ServiceNow's GDM Analytics team, the Data Analytics Intern will leverage analytics, data science, and business acumen to help organizational leaders make data-driven decisions. This role will work with opportunity, contract, and usage data to help the organizations of Compliance, Proposals, Professional Services Deal Desk, and Subscription Deal Desk get the most out of their people. This will involve creating predictive analytics solutions and standing up reporting capabilities for the four pillars of GDM. Typical questions you may be asked to answer will range from explicit reporting such as “What was the opportunity win rate of the Proposals team compared to the overall ServiceNow win rate?” and also more nuanced questions such as “How does high usage of our products correlate with the potential for upsell during the renewal process?” Job Responsibilities: The Data Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics. While he/she may be supporting any of the 4 pillars (Proposals, Compliance, Subscription Deal Desk, and Professional Services Deal Desk) at any given time, he/she will be primarily dedicated to one of these 4 pillars. This individual must possess high business acumen as well as a strong understanding of data and analytics to drive impactful business decisions. Responsibilities include but are not limited to: Conduct ad-hoc analyses based on shifting business needs using SQL, Python, R, and/or Excel Build explainable machine learning models to answer complex business problems Regularly present to organization leaders on the insights they uncover Create reporting capabilities using PowerBI and/or Tableau Take a proactive approach to analytics to suggest the next best steps based on initial insights Pull/combine various (sometimes disparate) datasets together accurately and efficiently - Provide compelling data visualizations that drive business leaders towards data-driven decisions Qualifications About You: Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 1-2 years of analytics, data, engineering, and/or data science experience Strong understanding of relational databases HANA or snowflake experience is a plus Intermediate to Advanced SQL knowledge is a must Python or R proficiency is preferred Data Science, SaaS analytics, and subscription models experience is a plus Proactive attitude and approach to work Ability to effectively prioritize deliverables with high quality and on-time delivery Excellent verbal and written communications skills, and problem solving, presentation abilities, and strong business acume For positions in this location, we offer a base pay of $43.04/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 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.

Responsibilities

The Data Analytics Intern will conduct ad-hoc analyses, create dashboards, and develop predictive analytics solutions. This role will primarily support one of the four pillars of GDM while collaborating with various teams to drive data-driven decisions.