Transportation Data Analyst II

• Support development of business cases and recommendations
• Drive delivery of assigned project activities and tasks
• Support process updates and changes
• Support solving business issues under guidance
• Identify appropriate datasets and suitable data sources
• Maintain awareness of data quality
• Identify options to address business problems using relevant analytical methodologies
• Generate graphical representations of data and model outcomes
• Design data representations for multiple datasets based on customer requirements
• Work with User Experience designers and User Interface engineers to build front-end applications as required
• Present to and influence team and business audiences using appropriate data visualization frameworks
• Customize communication style and guide junior associates on story types, structures, and techniques
• Promote data quality awareness and profile, analyze, assess, test, and validate data quality
• Execute data quality management procedures and conduct data cleansing activities under supervision
• Grant user access to data and learn data governance processes and policies
• Support identification and application of statistical techniques
• Support data collection and evaluation
• Explore data using simple tools
• Execute existing statistical models and explain their relevance to client situations
• Analyze data and compute descriptive statistics to identify trends, outliers, and correlations
• Develop, execute, and improve action plans using information and best practices
• Build stakeholder relationships and partnerships, identify business needs, implement processes, monitor results, and capitalize on improvement opportunities
• Model compliance with company policies, mission, values, ethics, and integrity
• Collaborate with team members and business partners to achieve objectives

• Must have completed a Summer 2026 Walmart or Sam's Club internship
• Immigration sponsorship is not available for this role
• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or related field, OR 2 years' experience in data analysis, data science, statistics, or related field
• Knowledge of industry and environmental factors, business vernacular, and business practices across two or more domains
• Knowledge of business metrics and business areas
• Knowledge of functional business domains, data categories, data requirements, database technologies, and distributed data stores such as SQL and No
  
  SQL
• Knowledge of data quality, business systems, and processes
• Knowledge of analytics, big data analytics, automation techniques, and methods
• Knowledge of data visualization guidelines, tools, and advanced visualization techniques
• Knowledge of data quality management, profiling, cleansing, integration, governance, privacy, security, storage, retention, and documentation
• Knowledge of Knowledge Discovery in Data (KDD) tools, applications, scripting languages, and statistical techniques
• Experience or knowledge with SQL, Oracle, Apache Mahout, MS Excel, Python, and statistical techniques
• Master's degree and related industry experience are preferred
• Preferred experience with SQL, Python, Spark, Scala, R, Power BI, or Tableau

Demonstrates expertise in data analysis, data quality management, and statistical techniques, with a strong ability to visualize data and communicate insights effectively. Proficient in SQL, Python, and data visualization tools to support business decision-making and process improvements.

• Data Analysis
• Data Quality Management
• SQL
• Python
• Data Visualization

• Data Analysis
• Statistical Techniques
• Data Quality Management
• Data Cleansing
• Data Governance
• Descriptive Statistics
• Business Metrics
• Data Integration
• Automation Techniques
• Knowledge Discovery in Data

• Communication
• Collaboration
• Influencing
• Problem Solving
• Stakeholder Relationship Management

• Data Quality
• Business Practices
• Analytics
• Big Data Analytics
• Business Systems
• Data Visualization Guidelines
• Functional Business Domains
• Data Categories
• Data Requirements
• Environmental Factors

• SQL
• Python
• Power BI
• Tableau
• Apache Mahout
• MS Excel
• Spark
• Scala
• No
  
  SQL
• KDD Tools