Data Analytics Intern

Santa Clara, California, United States

Applications have closed

ServiceNow

ServiceNow allows employees to work the way they want to, not how software dictates they have to. And customers can get what they need, when they need it.

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Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

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 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)

· 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

· This position is not eligible for employment based sponsorship *

 

For positions in the Bay Area, we offer a hourly pay of $44.23, 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

ServiceNow is an Equal Employment 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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

Tags: Data Analytics Engineering Excel Machine Learning ML models Power BI Python R RDBMS Snowflake SQL Tableau

Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care

Region: North America
Country: United States
Job stats:  62  26  0
Category: Analyst Jobs

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