Senior, Data Analyst

We are looking for a passionate, creative Senior Data Analyst to join the Inkiru Data Science team @ Walmart Global Tech from fraud detection and risk management. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce. As a Senior Data Analyst, you will transform complex data into actionable insights, supporting data‑driven decision-making and driving business impact across Walmart’s digital and physical channels.

You will collaborate closely with Data Scientists, Engineers, Product Managers, and Business professionals at the intersection of analytics, big data, IT infrastructure, and business operations.

• Partner strategically with product development and business teams, delivering insights and recommendations of fraud trends and patterns through effective data storytelling and visualization.
• Analyze high‑dimensional, fast‑moving real‑time datasets to identify trends, anomalies, and opportunities for fraud detection.
• Build and maintain dashboards and reports to monitor key business metrics and share insights with stakeholders.
• Ensure data quality and integrity through rigorous validation and documentation.
• Research and apply new analytical methods, tools, and techniques to solve complex business problems.

• Technical expertise in data analysis, statistical methods, and data visualization.
• Strong knowledge of data modeling and data engineering best practices.
• Proficiency in SQL and data analysis packages in Python or R.
• Experience working with large datasets and distributed computing tools (Big Query, Hive, or Spark).
• Bachelor’s degree in a STEM or related field with at least three years of related experience, or a Master’s degree in a STEM or related field with at least one year of related experience.
• Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) is preferred.
• Strong communication skills with the ability to present complex findings to both technical and non‑technical audiences.

Immigration sponsorship is not available for this role.

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. We are a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer, driving innovation and disruption. We train our team in the skillsets of the future and bring in experts to help us grow.

Here, you can launch a great career in tech, gain new skills, and innovate at scale, impacting millions and reimagining the future of retail.

We use a hybrid way of working with a primary in‑office presence coupled with an optimal mix of virtual presence. This approach helps us make quicker decisions, remove location barriers across our global team, and maintain flexibility in our personal lives. Beyond our compensation package, you can receive incentive awards for your performance. Other great perks include benefits such as maternity and parental leave, PTO, health benefits, and more.

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity – unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

• Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and two years of experience in data analysis data science, statistics, or related field.
• Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field;
• Four years of experience in data analysis, data science, statistics, or related field.

• Data science, data analysis, statistics, or related field expertise with a Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology.
• Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau).