Intelligence Analyst

Short Description

Walmart is hiring for the role of Intelligence Analyst who will responsible to manage data analysis projects and demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans.

Job Description

Responsibilities:
  • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans.
  • Manages data analysis projects.
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity.
  • Participates in cross-functional assignments.
  • Provides and supports the implementation of business solutions.
  • Provides data analysis support to the department.

Required Qualification:
Bachelor s degree in math, analytical studies, engineering, economics, computer science, international studies, criminal justice, political science or related field OR 2 years experience conducting mathematical or statistical research, analysis and modeling (for example, statistical, predictive) intelligence, corporate security, law enforcement or related field.

Preferred Qualification:
  • 1 year experience producing statistical or mathematical models.
  • 2 years experience developing and testing website applications.
  • 2 years experience using a business intelligence (BI) tool (for example, Oracle) to create reports to specifications.
  • 2 years experience using descriptive statistics, exploratory data analysis, or univariate analyses.
  • 2 years experience using in-database analytics, SQL, or similar programming languages to retrieve, merge, and clean data from multiple sources or platforms.


Intelligence Analyst
Mid-Senior-level Information Technology | Technology | Information Full-time Other | Analyst Business Analyst | SAS
Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.