ServiceNow Security Organization Data Informati... @ ServiceNow
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About ServiceNow
It all started in sunny San Diego, California in 2004 when visionary engineer Fred Luddy set out to transform how we work. Today, ServiceNow is a global market leader, serving over 8,100 customers including 85% of the Fortune 500, with an intelligent cloud-based platform that connects people, systems, and processes.
Role Overview
The ServiceNow Security Organization delivers innovative security solutions to reduce risk and protect both the company and its customers. As a Data Informatics Analyst Intern, you will conduct ad-hoc analyses, build dashboards, and perform predictive analytics to drive business decisions.
Responsibilities
- Conduct ad-hoc analyses using SQL, Python, R, and Excel
- Create dashboards and compelling data visualizations using Power BI
- Present analytical insights to organizational leaders
- Combine disparate datasets accurately and efficiently
- Provide proactive, data-driven recommendations
Qualifications
- Currently enrolled full-time in a Master’s program in Computer Science or related discipline
- Graduation expected December 2026 or later
- Excellent Power BI skills
- 1-2 years experience in analytics, data engineering, or data science
- Strong SQL proficiency and understanding of relational databases
- Python proficiency is preferred
- Experience with Snowflake is a plus
- Strong business acumen and communication skills
Additional Information
This role offers a base pay guideline of $43.04/hr, along with equity, variable/incentive compensation, and benefits including health plans, 401(k) with company match, ESPP, and more. ServiceNow embraces flexible work arrangements based on employee work personas. Equal opportunity employment is provided to all applicants.
Key skills/competency
- SQL
- Python
- Analytics
- Power BI
- Data Visualization
- Dashboard Creation
- Predictive Analytics
- Snowflake
- R
- Excel
How to Get Hired at ServiceNow
🎯 Tips for Getting Hired
- Research ServiceNow's culture: Study their mission and values online.
- Customize your resume: Highlight SQL, Python, and Power BI skills.
- Apply strategically: Tailor your cover letter to the role.
- Prepare for interviews: Practice technical and behavioral questions.