Senior Data Analyst - Data Ventures

Position Summary...

What you'll do...

Data Ventures, akin to a nimble startup incubated within Walmart is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance.

As a Senior data analyst, you will play a prominent technical role to help build foundational data layer which will power the Analytical and Data Science insights. You will work closely with product stakeholders and deliver outstanding business outcomes.

What You'll Do

Data Source Identification: Understand business data requirements and analyze business systems and processes and help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.

Data Strategy: Understand business value and relevance of data and help build data enabled insights; Work on Strategy for data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.

Tech. Problem Formulation: Translate business requirements into projects, activities, and tasks and develops specific artifact. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Able to able to support business users with their queries on data and reports.

Data Visualization: Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets.

Exploratory Data Analysis: Support the identification and application of statistical techniques based on requirements, assist in the planning, design, and implementation of an exploratory data analysis research projects.

What You'll Bring

• You have experience working with large datasets, finding insights, and telling stories using data.
• You have comprehensive knowledge of Database technologies and distributed datastores (e.g., SQL, NoSQL), also Bigdata and Cloud technologies like GCP BQ.
• You have passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
• Ability to play with huge data and write code and queries in SQL, Python/R for data analysis.
• You are well-versed in visualization tools and best practices like Looker, PowerBI etc.

About Walmart Global Tech

Imagine working 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 epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations.

Who We Are

Join Walmart and your work could help approximately 220 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com.

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.

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)

Primary Location...

603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America