Firm Name: Walmart

Numbers of Jobs: Data Analyst

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: BENTONVILLE

Job Details:

Your actions.

•  As a member of our team, you will be in charge of all data-related tasks, including query creation, data model development, KPI management and creation, and the creation of powerful data visualizations. Additionally, you will get to interact with companies from various industries and work with numerous technical engineering teams.
•  The team's name is Enterprise Business Services - Data Intelligence.
•  As a painter uses raw colors to create a masterpiece, you will be the artist using raw, massive, and complex data sets to tell stories and create visualizations to uncover patterns, trends, and insights. If you dream about data and you can see patterns and answers in the data when others see just a bunch of numbers, then this role is for you.
•  As a member of the Enterprise Business Services - Data Intelligence team, you will be designing and developing analytical solutions with actionable insights across numerous areas and domains, assisting the business in their analytical journey, unlocking savings, and assisting leadership in making better and more rapid decisions.

 You'll perform the following.

•  By compiling data from various sources, metrics, storyboards, and dashboards can be created to illustrate the data.
•  Utilize statistical tools and concepts to analyze complex data in order to find patterns and identify anomalies.
•  Write queries and analyze data using your understanding of Data Discovery tools to find patterns, trends, outliers, and correlations.
•  Bring fresh suggestions for analytics and data visualization.
•  collaborate and communicate with a variety of cross-functional teams.

 What you'll bring is.

•  practical knowledge of visualization tools such as Power BI, Tableau, Looker, QlikView, SAP Lumira, MicroStrategy, etc.
•  creates and defines complex relationships within the tables, as well as develops and understands the data model.
•  Writes queries across large data sets with expertise.
•  knowledge of RDBMS, particularly Oracle, SQL Server, and MySQL, and a strong grasp of performance tuning.
•  knowing how to use descriptive, predictive, and prescriptive analytics.
•  knowledge of programming languages like Python or R.
•  By using log data to create the process model, you can better comprehend the concept of process mining.
•  Understanding of process insights, gaps, and ROI possibilities.
•  Be able to wireframe and mockup potential data visualization solutions to meet business requirements.
•  working knowledge of SCRUM or Kanban in the context of Agile methodology.
•  possess the capacity to navigate uncertainty and strive for directionality.
•  Having prior Celonis experience is a plus, as is knowing how to create simple PQL queries and PU-functions.
•  Having prior knowledge of custom KPIs, visualizations in Celonis, Celonis Studio, and Celonis Analysis is a plus.
•  Create interactive visualizations spanning multiple analyses using drilldown charts that are interactive, dynamic, and dynamically dimensioned using user variables in Celonis Plus.

 In relation to Walmart Global Tech.

 Imagine being a part of a team where a single line of code can improve the lives of hundreds of millions of people. At Walmart Global Tech, we carry this out. We are a group of software engineers, data scientists, cybersecurity experts, and service professionals working for the biggest retailer in the world. We have a huge impact and are at the forefront of the next retail disruption. We innovate because of people, and people fuel our innovations. We are a tech-enabled, people-led organization. To support our expansion, we hire professionals like you and train our staff in the future-ready skills. Both those pursuing their first opportunity and those seeking the opportunity that will define their career can find roles with us. Here, you can launch a successful tech career, learn new skills and experience applicable to nearly every industry, or use your knowledge to innovate at scale, have an impact on millions of people, and reimagine the future of retail.

 hybrid jobs that are flexible.

 When not in the office, we primarily work virtually. Our campuses act as a hub to improve teamwork, unite us for a common goal, and meet business needs. This method enables us to make decisions more quickly, break down geographic boundaries within our global team, and exercise greater personal flexibility.

 Benefits:.

 Benefits: In addition to our excellent compensation package, you are eligible to win performance-based incentives. 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and many more great benefits are among the additional great benefits.

 Employer of Equal Opportunity.

•  Wal-Mart Stores, Inc. is a company that chooses to be an equal opportunity employer. We think that when we really know someone, we are better able to assist them in living a better life, whether they be one of our associates, clients, or the communities we serve. This entails being inclusive of all people while comprehending, respecting, and valuing diversity—unique styles, experiences, identities, ideas, and opinions.
•  The information above has been prepared to highlight the general scope and depth of work performed in the role. It is not intended to include or be interpreted as a complete list of all duties and credentials expected of employees working in this position. During the hiring process, the complete Job Description may be made available.

 Minimum requirements.

 The minimum qualifications needed for this position are listed below. There are no prerequisites in the absence of any listed.

•  Option 1: A bachelor's degree in business, engineering, statistics, economics, analytics, mathematics, the arts, finance, or a related field plus one year.
•  knowledge of statistics, data science, data analysis, or a related field. Option 2: Three years of experience in a field related to statistics, data science, or data analysis.

 Preferred Requirements.

•  The optional preferred requirements for this position are listed below. There are no preferred qualifications if none are listed.
•  Data science, data analysis, statistics, or a related field; a master's degree in business, computer science, engineering, statistics, economics, analytics, mathematics, information technology, or a related field; related industry experience (such as retail, merchandising, healthcare, or eCommerce); and the successful completion of assessments in data analysis and business intelligence tools and scripting languages (such as SQL, Python, Spark, Scala, R, or Power B).