Walmart
Position Summary
Position Summary... What you’ll do
What you’ll do... Data Source Identification
Requires knowledge of functional business domain and scenarios; categories of data and where it is held; business data requirements; database technologies and distributed datastores (e.g., SQL, NoSQL); data quality; existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Data Strategy
Requires knowledge of understanding of business value and relevance of data and data-enabled insights/decisions; appropriate application and understanding of data ecosystem including data management, data quality standards, data governance, accessibility, storage, scalability, etc.; understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Understanding Business Context
Requires knowledge of industry and environmental factors; common business vernacular; business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; directly relevant business metrics and business areas. To provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align them to overall business strategy and develop domain-specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Tech. Problem Formulation
Requires knowledge of analytics/big data analytics/automation techniques and methods; business understanding; precedence and use cases; business requirements and insights. To translate/co-own business problems within one's discipline to data-related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and give examples to demonstrate how the method would solve the business problem. Data Visualization
Requires knowledge of visualization guidelines and best practices for complex data types; multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI, etc.); advanced visualization techniques/tools; multiple story plots and structures (OABCDE); communication & influencing technique; emotional intelligence. To generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front-end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance, and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Data Quality Management
Requires knowledge of data quality management techniques and standards; business metadata definitions and content data definitions; data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; understanding of user's data consumption, data needs, and business implications; data modeling, storage, integration, and warehousing; data quality framework and metrics; user access best practices; enterprise data architecture, modeling and design, storage, integration, and warehousing; enterprise data quality framework and metrics; enterprise data strategy; enterprise data quality strategy; enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To promote and educate others on data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver against data quality service level agreements. Manage operational data quality management procedures. Manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determine user accessibility and remove or restrict user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. Exploratory Data Analysis
Requires knowledge of relevant knowledge discovery in data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping); research analysis standards and activities; documentation procedures such as drafting, editing, bibliography format; relevant KDD tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends. To collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in the planning, design, and implementation of an exploratory data analysis research project. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Use advanced knowledge in data discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis (for example hypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites. 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. Leadership Expectations
Respect for the Individual
Demonstrates and encourages respect for all; builds a high-performing team; seeks and embraces differences in people, cultures, ideas, and experiences; creates a workplace and equitable experiences where associates feel seen, supported, and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best team members. Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Acts with Integrity
Maintains and promotes the highest standards of integrity, ethics, and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us. Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. Holds self and others accountable for achieving results in a way that is consistent with our values. Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Service to the Customer/Member
Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members. Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team’s strategy. Strive for excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Benefits
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision, and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see
https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Salary
The annual salary range for this position is $80,000.00 - $155,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Stock Minimum Qualifications
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. Preferred Qualifications
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). Primary Location
311 North Walton Boulevard, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
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Position Summary... What you’ll do
What you’ll do... Data Source Identification
Requires knowledge of functional business domain and scenarios; categories of data and where it is held; business data requirements; database technologies and distributed datastores (e.g., SQL, NoSQL); data quality; existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Data Strategy
Requires knowledge of understanding of business value and relevance of data and data-enabled insights/decisions; appropriate application and understanding of data ecosystem including data management, data quality standards, data governance, accessibility, storage, scalability, etc.; understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Understanding Business Context
Requires knowledge of industry and environmental factors; common business vernacular; business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; directly relevant business metrics and business areas. To provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align them to overall business strategy and develop domain-specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Tech. Problem Formulation
Requires knowledge of analytics/big data analytics/automation techniques and methods; business understanding; precedence and use cases; business requirements and insights. To translate/co-own business problems within one's discipline to data-related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and give examples to demonstrate how the method would solve the business problem. Data Visualization
Requires knowledge of visualization guidelines and best practices for complex data types; multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI, etc.); advanced visualization techniques/tools; multiple story plots and structures (OABCDE); communication & influencing technique; emotional intelligence. To generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front-end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance, and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Data Quality Management
Requires knowledge of data quality management techniques and standards; business metadata definitions and content data definitions; data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; understanding of user's data consumption, data needs, and business implications; data modeling, storage, integration, and warehousing; data quality framework and metrics; user access best practices; enterprise data architecture, modeling and design, storage, integration, and warehousing; enterprise data quality framework and metrics; enterprise data strategy; enterprise data quality strategy; enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To promote and educate others on data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver against data quality service level agreements. Manage operational data quality management procedures. Manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determine user accessibility and remove or restrict user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. Exploratory Data Analysis
Requires knowledge of relevant knowledge discovery in data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping); research analysis standards and activities; documentation procedures such as drafting, editing, bibliography format; relevant KDD tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends. To collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in the planning, design, and implementation of an exploratory data analysis research project. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Use advanced knowledge in data discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis (for example hypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites. 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. Leadership Expectations
Respect for the Individual
Demonstrates and encourages respect for all; builds a high-performing team; seeks and embraces differences in people, cultures, ideas, and experiences; creates a workplace and equitable experiences where associates feel seen, supported, and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best team members. Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Acts with Integrity
Maintains and promotes the highest standards of integrity, ethics, and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us. Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. Holds self and others accountable for achieving results in a way that is consistent with our values. Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Service to the Customer/Member
Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members. Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team’s strategy. Strive for excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Benefits
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision, and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see
https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Salary
The annual salary range for this position is $80,000.00 - $155,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Stock Minimum Qualifications
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. Preferred Qualifications
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). Primary Location
311 North Walton Boulevard, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
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