Data Analyst II

Reference: R-2618399Posted: 2026-09-28Location: HOBOKEN, NJ, United StatesSalary: $84000 - $156000/yearType: Regular/PermanentCompany: WalmartUnderstanding 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 Support the development of business cases and recommendations Drive delivery of project activity and tasks assigned by others Support process updates and changes Support under guidance in solving business issues 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 Understand the appropriate data set required to develop simple models by developing initial drafts Support the identification of the most suitable source for data Maintains awareness of data qualityTech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To Identify possible options to address the business problems within ones discipline through relevant analytical methodologies Demonstrate understanding of use cases and desired outcomes 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 conveys 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 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 data quality awareness Profile analyze and assess data quality Test and validate data quality requirements under supervision of others Execute operational Data Quality Management procedures under supervision of others Conduct data cleansing activities to remove data quality defects improve data quality and eliminate unused data under supervision of others Grant user access to data Learn company and regulatory policies on data Learn 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 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 Support identification and application of statistical techniques based on requirements Apply suitable technique under direction from leadership Support data collection and evaluation Explore data using simple tools Execute existing statistical models and explain how they relate to a clients situation Analyze data and computes descriptive statistics that identify trends outliers and correlations Demonstrates uptodate 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 practicesRespect the Individual: Demonstrates and encourages respect for others drives a positive associate and customermember experience for all embraces differences in people cultures ideas and experiences supports workplaces where associated feel seen and connected through a culture of belonging so all associates thrive and perform contributes to an environment allowing everyone to bring their best selves to workRespect the Individual: Demonstrates engagement and commitment to the team developing others through feedback coaching mentoring and developmental opportunities and recognizes others contributions and accomplishmentsRespect the Individual: Builds strong and trusting relationships with team members and business partners works collaboratively to achieve objectives communicates with impact and listens attentively to a range of audiences and demonstrates energy and positivity for own workAct 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 givingAct with Integrity: Follows the law our code of conduct and company policies and encourages others to do the same supports an environment where associates feel comfortable sharing concerns reinforces our culture of nonretaliation listens to concerns raised by associates and takes action acts with accountability for achieving results in a way that is consistent with our valuesAct with Integrity: Is consistently humble selfaware honest and transparentServe our Customers and Members Delivers results while putting the customermember first and applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembersServe our Customers and Members Adopts a broad perspective that considers data analytics customermember insights and different parts of the business when making plansStrive for Excellence:Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions supports innovation and intelligent risktaking and exhibits resilience in the face of setbacksStrive for Excellence:Implements and supports continuous improvements and willingly embraces new digital tools and ways of working 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 . 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. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $84,000.00 - $156,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field."]Preferred qualifications["Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology or related field", "Related industry experience (for example, retail, merchandising, healthcare, eCommerce)", "Data science, data analysis, statistics, or related field", "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)"]