(USA) Data Analyst II

Walmart•Bentonville, AR

3d•$70,000 - $130,000•Onsite

About The Position

As a Data Analyst II, you will leverage advanced analytical techniques and data visualization tools to support business decision-making across multiple domains. This role involves identifying relevant data sources, ensuring data quality, and developing insightful models to address business challenges. You will collaborate with cross-functional teams to translate complex data into clear, actionable insights that drive strategic initiatives. The position requires proficiency in SQL, Python, and business intelligence platforms, with a focus on maintaining data governance standards and promoting continuous improvement in data management and analysis practices. The Data Analyst II team at Walmart Data Ventures ensures data accuracy, consistency, and accessibility across the organization. Collaborating with Data Stewards, Product Managers, Data Engineers, and Data Scientists, the team governs and manages data to support strategic business objectives. Utilizing expertise in data governance, analytics, and visualization, members deliver actionable insights that drive informed decision-making. The team emphasizes continuous improvement and employs advanced tools and methodologies to maintain high data quality standards, fostering a collaborative environment dedicated to effectively supporting business needs and enhancing overall data management practices.

Requirements

Proficiency in SQL, Python, and data visualization tools such as Power BI and Tableau to analyze and present complex data effectively.
Experience with data quality management, including profiling, cleansing, and validation to ensure accurate and reliable datasets.
Strong understanding of business contexts across multiple domains to support data-driven decision-making and project delivery.
Knowledge of data governance principles, metadata management, and enterprise data architecture to maintain compliance and data integrity.
Ability to apply statistical techniques and exploratory data analysis to identify trends, correlations, and actionable insights.
Effective communication skills to convey data findings clearly to stakeholders and support collaborative problem-solving.
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.

Nice To Haves

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)

Responsibilities

Analyze complex data sets to support business decision-making across multiple domains including product, finance, marketing, and technology.
Identify and source appropriate data from various databases and distributed data stores, ensuring data quality and relevance.
Develop and apply analytical models and visualization techniques using tools such as SQL, Python, and Power BI to communicate insights effectively.
Support process improvements and project activities by delivering accurate data analysis and reporting.
Collaborate with stakeholders to understand business requirements and translate them into actionable data solutions.
Promote data quality management through profiling, cleansing, and validation activities under guidance.
Mentor junior team members on analytical methods and data visualization best practices.