COMFORT SYSTEMS
About the Team:
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.
What You’ll Do
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.
What You’ll Bring
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 (BigQuery, Hive, or Spark).
Bachelor’s degree in a STEM or related field plus three years of related experience or Master’s degree in a STEM or related field plus 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.
About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits, maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer: 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.
Primary Location 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
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 and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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)
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What You’ll Do
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.
What You’ll Bring
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 (BigQuery, Hive, or Spark).
Bachelor’s degree in a STEM or related field plus three years of related experience or Master’s degree in a STEM or related field plus 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.
About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits, maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer: 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.
Primary Location 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
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 and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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)
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