Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world.

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Position Summary...

As a Senior, Data Analyst at Walmart, you will play a crucial role in identifying and validating data sources, developing data-driven strategies, and translating complex business problems into actionable insights. You will collaborate with various teams to create data visualizations, support business solutions, and ensure data quality. You will enhance the customer experience and maintain robust data infrastructure. Join us to leverage your expertise in customer analytics and contribute to our mission of improving lives globally.

What you'll do...

Data Source Identification: Supporting the understanding of the priority order of requirements and service level agreements. Helping identify the most suitable source for data that is fit for purpose. Performing initial data quality checks on extracted data.

Data Strategy: Understanding, articulating, and applying principles of the defined strategy to routine business problems that involve a single function.

Understanding Business Context: Knowledge of industry and environmental factors, business vernacular, and practices across domains like product, finance, marketing, sales, technology, and human resources. Providing recommendations for complex business issues, developing ROI-driven business cases, and translating requirements into strategic projects. Acting as a liaison between business needs and solutions, identifying and recommending relevant insights to drive results.

Tech. Problem Formulation: Knowledge of analytics techniques, business understanding, use cases, and requirements. Translating business problems into data-driven solutions, identifying appropriate tools, and demonstrating how these methods address the issue.

Data Visualization: Creating suitable data visualizations and understanding customer needs for multiple data sets.

Collaborating with UX/UI teams to build front-end applications and effectively presenting to various stakeholders. Customizing communication styles and mentoring junior associates on storytelling techniques based on context.

Supporting Business Solutions Implementation: Building relationships with stakeholders, identifying needs, executing processes, monitoring results, capitalizing on improvement opportunities, and adapting to changing demands and responsibilities.

What you'll bring:

You have experience in Customer Analytics and thrive on your products being used to improve overall customer experience for extremely large populations.

You have strong experience with Data Governance, Data Analytics, and Data Quality.

You have strong experience with GCP, and Tableau, PowerBI, or Looker.

You have 5-6 years experience in data mining and data analysis.

You have experience reviewing source systems for inaccuracies and develop and maintain protocols for handling, processing, and cleansing data.

You are detail oriented with problem solving skills, looking beyond the surface of data issues to discover the root cause of a data discrepancy.

Feel comfortable to partner closely with PowerBI developers and data engineers to ensure data structure requirements are met and support developing and maintaining data infrastructure.

You have a good understanding of application access permissions, row level security (RLS), object level security (OLS).

Possess strong documentation skills, documenting our data management processes to provide clear steps in performing the recurring data activities.