Reviewers say women are treated fairly and equally to men
What you'll do...
The Merchant Data Science team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with data scientists, machine learning engineers, operations research scientists, data engineers and other data analysts within the team as well collaborate with business teams, product managers, corporate strategists, software engineers and analysts.
Our team specifically partners with Omni-channel Supply Chain Strategy team to provide intelligent solutions to make highly visible and strategic decisions for Supply Chain Network transformation at Walmart. The work includes solving problems such as inbound network design, middle mile network flow optimization, various facility location determinations, last mile ecosystem design, pilots and measurements, monetization, transportation problems, return item strategy for ambient as well as fresh networks to provide Walmart a competitive edge in the medium to long term.
The primary responsibility of the data analyst is to provide data support to data scientists and business teams on data acquisition, creation, exploration, processing/manipulation, validation, preparation, presentation, and visualization. More specifically, they will
Identify the sources for the required data, and develop SQL/Python codes to query, process, transform and manipulate raw data to fit the team's analytical needs. This can be either ad-hoc or automated process. Perform data quality check to identify and address outliers, errors and exceptions.
Provide data support by leveraging the existing data or creating new data to facilitate the data scientists' needs on developing optimization and machine learning solutions.
Develop effective data visualization solutions using Tableau or Power BI to understand current-state baseline, basic and advanced statistical insights, historical trends, performance and KIP metrics, scenario comparisons, and benefits/cost analysis. These data visualization solutions will be used to conduct initial analysis, identify improvement opportunities, check data quality, and provide effective illustration in solution presentation and communication.
Help validate the quality of solutions generated by optimization and ML models.
Work with engineering stakeholders to help with development of new data and integration with existing data. This would be part of ongoing efforts to scale up our overall Supply Chain Strategy data lake.
Create ongoing analysis plans to deep-dive into large datasets related to the defined metrics/KPIs, and execute those plans using appropriate tools like Google Analytics, Tableau, Python and/or R.
Perform data governance tasks such as exploring data structure and features, documenting metadata, answering questions, and providing support to the data users.
Formulate, execute and report on A/B tests for existing and new features for constant optimization of our strategies.
What we are looking for
M.S. in a quantitative discipline (Business Analytics, Engineering, Operations Research, Mathematics, Computer Science, Statistics, etc.) with a minimum 2 years of relevant work experience
Profound understanding of data structure and database management, and real-world experience with large-scale databases
Proficiency in SQL, Python, R and/or other programing languages
Extensive experience with data visualization tools such as Tableau and MS Power BI
Experience with cloud platform, ideally GCP or MS Azure
Ability to communicate your results from deeply technical to non-technical audiences
Ability to influence and collaborate with cross-functional leaders
Knowledge on supply chain, optimization and machine learning is preferred but not required
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America
Reviewers say women are treated fairly and equally to men