Sr Business Analyst Intern - MBA

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

Internship

At ServiceNow we're looking for students who want to learn, grow, and take a giant step early in their career, all while making a giant impact. We offer 12-week internship opportunities all over the world across various business functions. Interns will participate in executive speaker series, career development workshops, philanthropic efforts, and team building activities. Additionally, interns will have access to online learnings and a dedicated Summer Coach to further grow their careers with us.  

Job Description

We are seeking a Master’s-level intern in Business Analytics and/or Informatics to act as a Product Owner for several dashboards that deliver enterprise insights into subscription entitlements and usage.  The role is deliverable-focused, with clear objectives to complete during the internship:

Key Deliverables

1. Stakeholder Insights & Requirements Definition Package

Objective: Ensure dashboard enhancements are grounded in real customer and field needs.

Description:  Lead structured feedback collection with customer-facing analysts and understand how entitlement and usage data is consumed, where gaps exist, and what decisions users are   trying to make.

Key Outputs:

• Summary of qualitative and quantitative feedback (themes, pain points, unmet needs)
• Clearly articulated user personas and use cases
• Prioritized list of business requirements tied to outcomes (e.g., renewal risk, expansion identification)
• Traceability between stakeholder feedback and proposed dashboard capabilities

2. Product Backlog & User Story Portfolio

Objective: Translate insights into actionable, delivery-ready work.

Description:  Synthesize requirements into well-defined epics, features, and user stories, applying product management and agile best practices. Stories will include acceptance criteria, data definitions, and success metrics.

Key Outputs:

• Groomed and prioritized product backlog for entitlement and usage dashboards
• User stories written in business-friendly, outcome-driven language
• Defined KPIs and success metrics for each major feature
• Dependencies, risks, and data readiness considerations documented

3. Feature Delivery, Validation & Adoption Readout

Objective: Drive high-quality delivery and measurable adoption of new functionality.

Description:  Partner with IT and analytics engineering teams to prioritize work, support sprint execution, participate in testing, and validate that delivered functionality meets stakeholder needs. Post-launch, they will assess adoption and effectiveness.

Key Outputs:

• Sprint-level prioritization recommendations and release notes
• UAT plans and documented testing outcomes
• Post-launch feedback from Sales and Customer Success
• Adoption and usage analysis with recommendations for iteration

Qualifications

Qualifications 

• Currently enrolled in an accredited university pursuing a Master’s degree in Analytics, Informatics, Data Science, Information Systems, Business Analytics, or a related field, with an anticipated graduation between no earlier than December 2026 but preferably May–June 2027.
• Demonstrated ability to leverage data and analytics to inform product decisions, including experience working with dashboards, reporting, or data visualization tools.
• Experience using or critically evaluating AI-powered tools to improve workflows, decision-making, or insights (e.g., analytics automation, data summarization, forecasting, or intelligent recommendations).
• Strong ability to gather, synthesize, and translate feedback from customer-facing teams (Sales, Customer Success, Renewals) and/or customers into clear requirements