Data Science & Analytics Intern

As an integral member of ServiceNow's GDM Analytics team, the Data Science & 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 Go-To-Market, Enablement, and Compliance get the most out of their people. This will involve creating predictive analytics solutions and standing up reporting capabilities for the Go-To-Market & Global Deal Management teams.

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 “Which customers would be the best fit for a certain product line?”

Job Responsibilities

The Data Science & Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics.  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 organizational 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

• Currently enrolled in Analytics Masters program (or related field)  and on track to graduate between Dec 2024 - June 2025
• 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
• PowerBI or Tableau experience 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 communication skills, problem-solving, presentation abilities, and strong business acumen

For positions in the Bay Area, we offer a hourly pay of $47.82, 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 (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.