About the Team
As a part of Walmart Finance Technology – Digital Planning and Analytics, we build industry defining Planning and Forecasting capabilities that are driver based and enabled by Machine Learning and statistical modeling that enable transparency, governance, and automation. The goals include Creating a Finance OnDemand model for improved Business partner experience; standardizing the core and utilizing predictive analytics to uncover insights faster. You will be in the unique position to be of service to associates as a member of this organization supporting all segments of Walmart Finance. If you are the type of person who feels a personal stake in everything that you work on, has a strong sense of ownership, has a love for Financial data, enjoys solving complex problems, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the product - then this role could be for you. The ideal candidate will be a driver for any given workstream within the program, working closely with the engineering and business teams to take an idea thru implementation and stabilization.
You’ll sweep us off our feet if…
You are a driver, takes responsibility to ensure timely delivery
You are passionate, driven and humble in your approach
You’re excited about solving challenges
You’re team-centric in spirit and in execution
You’re comfortable influencing others, leading teams, managing stakeholders, getting buy-in from leadership, and communicating clearly
You’re leading and participating in medium- to large-scale, complex, cross-functional projects by reviewing project requirements, translating requirements into technical solutions, gathering requested information (for example, design documents, product requirements, wire frames).
You’re writing and developing code; conducting unit testing, communicating status and issues to team members and stakeholders, collaborating with project team and cross functional teams.
Additional Preferred Skills
Bachelor’s degree in Computer Science and 3 years’ experience in software engineering or related field OR 5 years’ experience in software
engineering or related field.
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