NWA Recycles
Senior, Data Analyst - Bentonville, AR
NWA Recycles, Bentonville, Arkansas, United States, 72712
Position Summary:As
Senior Data Analyst
on our
Transactability & Availability Analytics team , you'll transform petabyte-scale datasets into strategic insights that ensure millions of customers can find and purchase exactly what they need, however they want it. You'll architect sophisticated analytical solutions with leading technologies and champion data-driven decision making across the organization, driving cross-functional initiatives that directly impact our customers.About Team:Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do:Lead initiatives cross-functionally partnering with Product Managers, Business, and Engineering to derive actionable insights and implement data-driven product features.Enhance product decisions through data-driven storytelling, delivering strategic insights and recommendations.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 KPIs.Functions as a subject matter expert on statistical analysis, design of experiments, analysis methodology, and statistical modeling.Collaborate with a team of Data Analysts and Data Engineers to design, build, test, and deploy cutting-edge data analytics solutions at petabyte-scale, impacting millions of customers worldwide.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.What you'll bring:Expert level knowledge in
SQL for data extraction: BigQuery, Hive, Presto .Experience with Visualization tools:
Tableau, Looker, or Power BI .Familiarity with programming languages for Data Analysis:
Python, R, SQL .Familiarity with big data processing tools:
Apache Spark, Scala, Airflow .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 in Retail or Ecommerce.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: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 experts, 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.Benefits:Beyond our great compensation package, 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.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.Primary Location:805 Se Moberly Ln, Bentonville, AR 72712, United States of America
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Senior Data Analyst
on our
Transactability & Availability Analytics team , you'll transform petabyte-scale datasets into strategic insights that ensure millions of customers can find and purchase exactly what they need, however they want it. You'll architect sophisticated analytical solutions with leading technologies and champion data-driven decision making across the organization, driving cross-functional initiatives that directly impact our customers.About Team:Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do:Lead initiatives cross-functionally partnering with Product Managers, Business, and Engineering to derive actionable insights and implement data-driven product features.Enhance product decisions through data-driven storytelling, delivering strategic insights and recommendations.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 KPIs.Functions as a subject matter expert on statistical analysis, design of experiments, analysis methodology, and statistical modeling.Collaborate with a team of Data Analysts and Data Engineers to design, build, test, and deploy cutting-edge data analytics solutions at petabyte-scale, impacting millions of customers worldwide.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.What you'll bring:Expert level knowledge in
SQL for data extraction: BigQuery, Hive, Presto .Experience with Visualization tools:
Tableau, Looker, or Power BI .Familiarity with programming languages for Data Analysis:
Python, R, SQL .Familiarity with big data processing tools:
Apache Spark, Scala, Airflow .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 in Retail or Ecommerce.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: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 experts, 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.Benefits:Beyond our great compensation package, 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.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.Primary Location:805 Se Moberly Ln, Bentonville, AR 72712, United States of America
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