Position Summary...Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
What you'll do...
About Team:
Core Services - Item and Inventory team at Walmart Global Tech, is focused on improving Walmart customer experience across both physical & digital and make Walmart the most exciting place to shop. With 4000+ brick and mortar stores and thousands of other suppliers fulfilling Walmart's online/in-store orders for over 1 billion customers - the challenge and complexity is pronounced! We work within the world’s largest retailer yet maintain a startup feel working in small agile teams to revolutionize the fulfilment landscape. As a leader in the supply chain group, you are accountable and responsible for number of critical products/platforms that helps serve our customers in the most cost-effective manner in multiple geographies and businesses.
The position is in Product Analytics team within CSIS at Walmart Global Tech. The team is responsible for identifying ways to improve Product efficiency and providing actionable insights to various stakeholders in Product, Engineering, Operations across Supply Chain & Fulfillment areas.
What you'll do :
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Analyse complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required.
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Drive product and process improvements across the broad spectrum of projects in Item and Inventory organization
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Find workable solution in case of data inconsistency and inconclusive data
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Drive projects with minimal guidance. Provide thought leadership by researching best practices and conducting experiments
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Evaluate various analytical/statistical methods and procedures and provide recommendation of relevance, applicability, efficiency of those to Walmart Catalog teams
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Work with cross functional group consisting of Engineering, Product, Program managers to drive data-based decisions
What you'll bring:
· Bachelor’s degree in Statistics, Mathematics or Computer Science or related discipline with 5+ years’ experience (4+ Relevant)
· Prior experience managing and mentoring team members
· Lead major analytical and Operational excellence projects across multi-functional team and enable stakeholders to make data driven decisions to maximize customer experience/Business impact at minimal possible cost.
· Hands on experience with BI Tools, ETL, data processing, database programming and data analytics
· Proficient is Sql and no-sql languages, R, Python
· Worked on gathering data from Cassandra, Kafka, Splunk. Work with big data on GCP and Azure
· Handled multi-million records of data. Troubleshooting and fixing data issue
· Data Visualization in any BI tools like Tableau, PowerBI, etc.,
· Understanding and application of statistical concepts to solve business problems
· Advanced statistical modelling skills is a Plus
- supply chain knowledge would be a ‘plus’
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, 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.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications: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.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India
