Coupa Software

Data Analyst - Excel/Python/SQL Specialist

Colombia Remote Hybrid
Python SQL
Description
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. 

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

************ ONLY APPLY WITH YOUR CV IN ENGLISH ******************8

This role is part of the Value Excellence Center (VEC) within the Value and Solutions Consulting team. The VEC is a global center of excellence focused on driving measurable business value for Coupa and its customers by providing insights using data analysis.  The VEC focuses primarily on pre-sales initiatives and supports the Solutions and Value Consulting team by providing complex data analysis and helping understand, analyze, and respond to various business opportunities and challenges unique to each Coupa Customer.

What you will do:

  • Develop new methods and lenses through which to quantify the value of Coupa’s offerings to our customers
  • Conduct analysis and make recommendations to solve complex business questions for Sales, Marketing, Product and other departments
  • Develop new tools and improve existing processes to enable our team to expedite our work pace and elevate our quality of customer service
  • Assist with Coupa’s benchmarking practice to understand how different types of customers perform, as well as how competing platforms compare

What you will bring to Coupa:

  • Language: fluent in verbal and written English language
  • Minimum of 2 years work experience
  • Technical experience: proficiency in using Python for data analysis, including writing scripts to automate data processing, cleaning, and reporting tasks
  • Data querying experience: proficiency in writing SQL queries for data extraction, manipulation, and analysis, with an understanding of database structure
  • Experience with collaboration tools: demonstrated history of using version control systems such as GitHub or GitLab to manage code and collaborate on projects
  • Data visualization experience: experience working with Tableau or Power BI visualization tools (or certified)
  • Microsoft suite experience: advanced user of Microsoft Excel and proficient user of Microsoft Word and Powerpoint
  • Education: Bachelor’s degree from an accredited university in Data Science, Economics, Information Management or Engineering
#LI-Hybrid
#LI-MH2

At Coupa, we celebrate diversity and recognize its value to our customers and employees. Coupa is proud to be an equal-opportunity workplace and affirmative-action employer. All qualified applicants will receive consideration for employment regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. 

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
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