Walmart Global Tech India
Location
Bangalore | India
Job description
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 The Team The Inventory & Eligibility Analytics team in US Omni Tech is specifically charged with providing insightful and actionable analytics to maximize on-site availability and transactability so customers can get what they want, when they want it, however they want it.
As a part of the Inventory & Eligibility Analytics team, this role will be instrumental in our journey to accelerate our Marketplace business. We are seeking an individual who will be responsible for conducting robust data analysis and providing actionable insights. We are looking for a highly motivated, resourceful, team-oriented individual to drive the data analysis process. Our ideal candidate is an exceptionally talented Data Analyst with a remarkable track record of working with large data sets and conducting thorough data analysis. You will be working with structured/unstructured datasets, utilizing SQL and other data extraction tools, implementing world-class data analysis techniques, and solving complex data challenges.
What You'll Do: - Collaborate with a team of Data Analysts to design, build, test and deploy cutting-edge data analytics solutions at scale, impacting millions of customers worldwide.
- Engage with Product Managers and Business to drive Product initiatives, create actionable insights, and deliver data-driven product features.
- Extract data from a variety of sources using SQL, BigQuery, Hive, Presto and transform it to a structure that is relevant to the problem at hand.
- Conduct complex data analysis using Python, R and SQL.
- Use Tableau, Looker, Power BI and other visualization tools to communicate complex data insights in an easily understandable manner to various stakeholders.
- Utilize data analysis to inform strategic decisions and drive change.
- Coordinate with cross-functional teams to ensure timely and efficient completion of tasks, applying project management skills.
- Develop business cases for projects with a projected opportunity size or cost savings, translate business requirements into projects, activities, and tasks and align them to overall business strategy.
- Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working.
What You'll Bring …- Proficiency in SQL for data extraction: BigQuery, Hive, Presto.
- Strong background in programming languages for Data Analysis: Python, R, SQL.
- Experience with Visualization tools: Tableau, Looker, or Power BI.
- Effective communication skills: Presenting complex data insights in an easily understandable manner to various stakeholders.
- Initiative and capability to drive change: Utilizing data analysis to inform strategic decisions.
- Project management skills: Ensuring timely and efficient completion of tasks while coordinating with cross-functional teams.
- Prior experience and knowledge and experience in Retail, Ecommerce, and Marketplace analytics (Nice to have).
- Familiarity with big data processing tools: Apache Spark, Scala, Airflow (Nice to have).
- Familiarity with Machine Learning and Data Science techniques: Developing predictive models, applying advanced statistical techniques, and uncovering insights from large datasets (Nice to have).
Must have - SQL for data extraction: BigQuery, Hive, Presto.
- Strong background in programming languages for Data Analysis: Python, R, SQL.
- Visualization tools: Tableau, Looker, Power BI (for effective communication of insights).
- Effective communication: Presenting complex data insights in an easily understandable manner to various stakeholders.
- Initiative and driving change: Utilizing data analysis to inform strategic decisions.
- Project management: Ensuring timely and efficient completion of tasks while coordinating with cross-functional teams.
Nice to have - Proficiency in big data processing tools: Apache Spark, Scala, Airflow.
- Familiarity with Machine Learning and Data Science techniques: Developing predictive models, applying advanced statistical techniques, and uncovering insights from large datasets.
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
- 6-10 Years of core Analytics experience
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... G, 1, 3, 4, 5 Floor, Building 11, SEZ, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1777137
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