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.
About the team:
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.
What you'll do:
- 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.
What you'll bring:
- 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.
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 $70,000.00 - $130,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 Option 2: 2 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...1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart 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.Skills Required
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field
- Two years of experience in data analysis, data science, statistics, or a related field
- Experience in data science, data analysis, statistics, or a related field
- Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce
- Successful completion of assessments in data analysis and business intelligence tools and scripting languages, such as SQL, Python, Spark, Scala, R, Power BI, or Tableau
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
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