Location : Dallas, TX, US, 75201
Company : Walmart
Date Posted : 9 June 2024
Job Type : Part Time, Full Time
APPLY NOWAs a Senior Data Analyst for Data Ventures at Walmart, you will help pioneer ad hoc analytics, exploratory data analysis for omni sales, inventory, etc., to make Walmart's Luminate platform one of the fastest and most reliable data services for our merchants and suppliers. You will have access to our limitless global data and all the new data to be harvested from our stores and e-commerce. You will be able to influence decisions that not only influence how we make decisions but also create an impact at an unprecedented scale.
About Team: Walmart Data Ventures
At Data Ventures, we support to build foundational data assets for “Walmart Luminate”, a new suite of data products that gives U.S.-based merchants and suppliers unprecedented access to rich, aggregated, customer insights that enable smarter, faster decision-making. The three modules that make up Walmart Luminate (Shopper Behavior, Customer Perception, and Channel Performance) help make merchant and supplier jobs easier with a single version of the truth (data is the same view for both merchants and suppliers) that represents the customer’s needs and wants. These tools offer an omni-view (complete view of online and in-store customers) that is dynamic (interactive tooling and reporting).
What you'll do:
Exploratory Data Analysis of upstream sources to build single source od truth foundation.
Apply SQL and visualization skills to show analysis and build design of the proposed foundation tables.
Root Cause Analysis to support business and product initiatives.
Collaborate closely with Data Engineers, Product, Data Stewards, Data Modelers, upstream data partners & Data Scientists.
What you'll bring:
You have exceptional hands-on SQL with storytelling experience with data visualizations in Tableau, Looker, etc.
Basic Python or any scripting language.
Strong data exploration.
You're an inquisitive and out-of-the-box thinker who is continually on the lookout for opportunities to improve and innovate analytic solutions.
You have a spirit of entrepreneurship and can connect what with the why.
You are adaptable and have the courage to fail fast.
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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
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.
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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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)