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 eg 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
Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To translate coown business problems within ones discipline to data related or mathematical solutions Identify appropriate methodstools to be leveraged to provide a solution for the problem Share use cases and gives 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 identify and recommend the most suitable visualization tools based on context Generate appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications Define application design based on customer requirements Build compelling stories based on context to integrate multiple pieces of information into cohesive insights Present to and influence audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding Customize communication style based on stakeholders and leverages relationships to drive behavioral change Guide and mentor junior associates on story types structures and techniques based on context
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 and Data Governance Accessibility Storage and Scalability etc Understanding of the methods and applications that unlock the monetary value of data assets To Understand articulate interpret and apply the principles of the defined strategy to unique moderately complex business problems that may span one or main functions or domains
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 users 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 leads data cleansing activities to remove data quality defects improve data quality and eliminate unused data Determine user accessibility and removes or restricts user access as needed Interpret company and regulatory policies on data Educate others on data governance processes practices policies and guidelines
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 indepth knowledge of related practices Directly relevant business metrics and business areas To evaluate proposed business cases for projects and initiatives Translate business requirements into strategies initiatives and projects and aligns them to business strategy and objectives and drives the execution of deliverables Build and articulate the business case and return on investment and delivers work that has demonstrable value Challenge business assumptions on topics related to ones domain expertise Mentor the team members on new business insights and allied developments Proactively engage in the external community to build Walmarts brand and learn more about industry practices
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 Knowledge Discovery in Data 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 evaluates 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 projects 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 packagessoftware suites
Drives the execution of multiple business plans and projects by identifying customer and operational needs developing and communicating business plans and priorities removing barriers and obstacles that impact performance providing resources identifying performance standards measuring progress and adjusting performance accordingly developing contingency plans and demonstrating adaptability and supporting continuous learning
Provides supervision and development opportunities for associates by selecting and training mentoring assigning duties building a teambased work environment establishing performance expectations and conducting regular performance evaluations providing recognition and rewards coaching for success and improvement and promoting a belonging mindset in the workplace
Promotes and supports company policies procedures mission values and standards of ethics and integrity by training and providing direction to others in their use and application ensuring compliance with them and utilizing and supporting the Open Door Policy
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans programs and initiatives consulting with business partners managers coworkers or other key stakeholders soliciting evaluating and applying suggestions for improving efficiency and costeffectiveness and participating in and supporting community outreach events
Respect the Individual: Demonstrates and encourages respect for all builds a highperforming team seeks and embraces differences in people cultures ideas and experiences creates a workplace where all associates feel seen supported and connected through culture of belonging so associates thrive and perform drives a positive associate and customermember experience for all identifies attracts and retains the best team members
Respect the Individual: Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities promotes an environment allowing everyone to bring their best selves to work empowers associates and partners to act in the best interest of the customermember and company and regularly recognizes others contributions and accomplishments
Respect the Individual: Builds strong and trusting relationships with team members and business partners works collaboratively and crossfunctionally to achieve objectives and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and action
Act 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 Walmarts goal of becoming a regenerative company by making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving
Act with Integrity 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 nonretaliation listens to concerns raised by associates takes action and encourages others to do the same holds self and others accountable for achieving results in a way that is consistent with our values
Act with Integrity Acts as an altruistic servant leader and is consistently humble selfaware honest and transparent
Serve our Customers and Members Delivers expected business results while putting the customermember first and consistently applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembers
Serve our Customers and Members Adopts a holistic perspective that considers data analytics customermember insights and different parts of the business when making plans and shaping the teams 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 risktaking and exhibits resilience in the face of setbacks
Strive for Excellence Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working

The annual salary range for this position is $90,000.00 - $180,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock