Walmart - Bentonville, AR
posted 2 months ago
Hello there! Are you someone who thrives on solving complex problems and loves to dive deep into data? If so, we've got an exciting opportunity for you at Walmart, the world's largest retailer. We're on the hunt for a Senior Data Analyst who's ready to take on meaningful challenges and make a real impact. As a Senior Data Analyst, you'll be a key player in our team, using your skills and experience in data analytics and visualization. If you've got experience in SQL (4-6 years), Tableau (2-4 years), and Python (1-3 years) that's a big plus! You will also be involved in advanced analytics, familiar with regression models and predicting based on historical data. We value collaborative, cross-functional leadership and influence, and we love team players! Your analytical aptitude will be crucial as you look at data and tell a compelling story. Project management skills are essential to keep things on track, and we appreciate intellectual curiosity that leads to process and business improvement. We're always looking to do things better and drive value while embracing Walmart's unique culture. As a Senior Data Analyst, you'll have the opportunity to dive into advanced analytics, investigating key drivers of transportation dynamic optimization and data quality. You'll work with large, messy, disparate datasets and conduct ad hoc "back of the envelope" analyses to quickly inform critical business decisions. Additionally, you'll develop data visualizations to monitor and quantify the impact of changes and unique business challenges. Building partnerships and collaborating with team members and cross-functional teams will be a regular part of your role, as you establish credibility and analyze stakeholder needs to share relevant information. You will leverage data analysis tools to explore and process complex data, develop and test hypotheses, and use data to influence strategic work while building and presenting insights. Finally, you will seek to implement ideas for process improvement for the group by leveraging lean manufacturing principles, time studies, and collaborative efforts with operations teams.