ZoomInfo (NASDAQ: ZI) is the go-to-market platform that helps businesses find, acquire and grow their customers.

ZoomInfo delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use our data and platform to increase efficiency, align sales and marketing teams, and consolidate technology stacks. We are a recognized leader in data privacy, with industry-leading GDPR and CCPA compliance and numerous data security and privacy certifications. For more information about how ZoomInfo helps customers unlock insights, engage customers, and win faster visit: www.zoominfo.com

Specialities: GTM platform, GTM strategy, sales intelligence, conversation intelligence, marketing intelligence, sales engagement, contact data, intent data, lead generation, improved prospecting, business information, business contacts, account-based marketing (ABM), data accuracy, database hygiene, and data orchestration.

ZoomInfo is looking for a Data Analyst to join our Data Innovation team and improve our data. This position supports our broader Data team and works closely with Data Science, Engineering, Product, and Research. Key aspects of this role include conducting analysis to support the creation of new products, identifying opportunities for product improvement, and working with internal teams to bolster the ZI database.

You’ll be given opportunities to personally and professionally develop as you build your career. We all share in the sense of accomplishment we get from being a part of what we’re building; you will have the opportunity to influence the future success of ZoomInfo’s data assets, developing your technical and analytical skills along the way. You’ll see that collaboration is second nature here, you’ll be greeted by a team of brilliant, talented, and motivated individuals who will help you define your new best, and most of all, you'll have fun!

You are…

• Inquisitive - You are curious about ZoomInfo’s product, market and data operations, and eager to develop a thorough understanding of our data and infrastructure. You pursue technical training and development opportunities and strive to build knowledge and skills continuously.
• A Critical Thinker - You can exercise good judgment in ambiguous situations. You have strong problem-solving and troubleshooting skills and enjoy solving puzzles. Most importantly, you can apply your analysis to the big-picture problems and opportunities.
• A Team Player - You are willing to tackle new challenges and enjoy facilitating and owning cross-functional collaboration.

Responsibilities

• Develop a deep and comprehensive understanding of the Person/Contact data and infrastructure we work with.
• Diagnose issues in data quality, identify gaps and errors in logic, and evaluate potential data partners.
• Summarize and document different aspects of the current state of our data, probing for opportunities, and charting the path forward with solutions to improve the accuracy and volume of the data we serve to our customers.
• Help drive implementation to maintain & improve our data and pipeline by collaborating with our Software & Data Engineering, Product Management, and Research counterparts.

Qualifications

• Bachelor's Degree in an analytical/research field (i.e. Math, Physics, Engineering, Computer Science, Biology, etc.) and 2+ years of experience working in a data-related capacity, or an equivalent combination of education and experience. An advanced degree is a plus.
• Analytical and problem-solving skills - you are interested in making sense of large quantities of data and can see patterns quickly
• Innovative – you aren’t afraid to question the status quo with new and inventive solutions to difficult problems
• Strong attention to detail
• Eager to learn
• Strong Interpersonal/Teamwork Skills. This is a must.
• An ability to work independently and manage multiple projects at once
• Comfortability with statistics
• Very comfortable writing SQL queries
• Experience with Microsoft Excel (formulas, pivot tables), or data analysis tools
• Preferred: Experience with Python (or R), or other coding experience. It is expected any individual who comes in without Python experience directly is willing to learn