Experienced Full Stack Data Analyst – Transportation Examination Group – Web & Cloud Application Development

About the Role Are you a highly skilled data analyst with a passion for working with large, complex datasets? Do you have experience with SQL, data visualization tools, and programming languages like Python? We're looking for a talented individual to join our Transportation Examination group as a Full Stack Data Analyst. As a key member of our team, you'll play a critical role in helping our clients make informed business decisions by analyzing and interpreting vast amounts of data. About the Company At Walmart E2E, we're a team of innovators, thinkers, and doers who are passionate about using technology to make a real impact. We're a group of computer programmers, data scientists, network security experts, and service professionals who are working together to revolutionize the retail industry. Our team is human-driven and tech-enabled, and we're committed to training and developing our employees to help them grow and succeed in their careers. Job Description As a Full Stack Data Analyst, you'll work with our clients to analyze and interpret large, complex datasets, and provide insights and recommendations to help them make informed business decisions. You'll be responsible for: Key Responsibilities Working with large, chaotic, unique datasets and conducting specialized examinations to illuminate basic business decisions rapidly Creating ETLs or processes that pull data from various sources and combine it into one table Fostering data visualization to screen and measure the effect of changes and special business challenges Collaborating with colleagues and cross-functional groups on an occasional basis and establishing credibility Dissecting partner needs and cooperating with them to share pertinent data, including collaborating with Activities, Finance, and Item groups on data accuracy, completion, and inactivity across different tasks and systems Influencing pre-arranging languages (Python preferred) to automate tasks made for reporting (Screen captures, measurements prioritization, and anomaly recognition) Archiving your cycles and sharing your insight with your colleagues Tutoring your colleagues as you become a well-informed authority Essential Qualifications Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field High-level involvement in SQL and data visualization tools Experience with e-commerce activities or package transportation tasks Experience with Python or other pre-arranging languages Experience with data control tools, such as Knime, Alteryx, R, or Tableau Preferred Qualifications Master's degree in Computer Science, Mathematics, Statistics, or a related field Experience with cloud-based data platforms, such as AWS or Azure Experience with machine learning algorithms and techniques Experience with data governance and data quality What We Offer As a Full Stack Data Analyst at Walmart E2E, you'll have the opportunity to work on challenging projects, collaborate with a talented team of professionals, and develop your skills and expertise in a fast-paced and dynamic environment. We offer a competitive salary and benefits package, as well as opportunities for career growth and advancement. Work Environment and Culture Our team is human-driven and tech-enabled, and we're committed to creating a positive and inclusive work environment that supports the growth and development of our employees. We offer flexible work arrangements, including remote work options, and a range of benefits and perks to support your physical and mental well-being. Compensation and Benefits We offer a competitive salary and benefits package, including: Salary: $27/hour Benefits package, including health insurance, retirement plan, and paid time off Flexible work arrangements, including remote work options Opportunities for career growth and advancement Professional development and training opportunities How to Apply If you're a motivated and talented data analyst with a passion for working with large, complex datasets, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!