Job Description

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you\'ll do... Job Summary - Looking for Staff Data Analyst to Manage and Lead Analytics projects for the next generation marketplace ecosystem serving all Walmart e-commerce across US and beyond. About the Team - This role is part of the Walmart Marketplace team with a specific focus on building Analytics initiatives across Walmart e-commerce. Your mission is to drive innovation in Walmart Marketplace. What You\'ll Do - Manage and Lead analytics projects and initiatives across areas in Marketplace Lead associates in developing analytical solutions and models Be a thought leader in understanding of the core problems . Plus lead and mentor associates to synthesise, understand and build relevant analytics based solutions Develop good understanding of data sources, metadata and quickly zero in on the most appropriate data relevant for a problem. Build complex data sets from multiple data sources, both internal and external Lead in development of advanced methods leveraging MLs via R and Python while sourcing data from cloud environments. Design, build and implement ML models within GCP, Azure and Hive environments Develop business intelligence tools using various platforms Work closely with Senior Analytics, Product and Business leadership as required Communicate insights to business & other stakeholders with careful attention to detail, high quality along with effective storytelling What You\'ll Bring - Strong analytical acumen with technical expertise in data mining, machine learning, statistical analysis and deep learning Expert in SQL, R and Python. Experience using machine learning and deep learning libraries . Experience in using data visualisation tools like Tableau and Looker and be able to drive powerful insights. Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark) Good knowledge on deploying models into production Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure. Ability to work in a fast-paced, iterative development environment. Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members. Strong ability to understand the business and have good stakeholder management capabilities. Experience of working in cross-functional environment and leading or mentoring teams About Walmart Global Tech - From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmart\'s scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. 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 Qualification Bachelors in Engineering, Math, Statistics, or related discipline or an MBA from a reputed institute 10-14 Years of core Analytics experience Good to have experience in the following: Ecommerce domain. Top tier consulting company Usage of data engineering tools and solutions 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 3 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 and 1 year\'s experience in data analysis, data science, statistics, or related field. Option 3: 5 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... G, 1, 3, 4, 5 Floor, Building 11, SEZ, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1470813

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