Position Summary... 

What you'll do... 

At Walmart, we embrace the connection between supplier brands and retail shoppers at an unprecedented scale. As primary stewards of our brand promise, “Save Money. Live Better,” we work alongside the most talented people in the world to engage with the more than 150M households (90% of Americans) who shop with us!  

We think there is no better place right now to be than Walmart Connect (WMC) - Walmart’s Media & Advertising arm - as both retail media rises in importance and with omnichannel representing the future of retail. Walmart continues to grow its retail media network presence, making this an exciting opportunity to join a high-visibility team to create uniquely accountable and targeted consumer advertising. 

If you are driven, enthusiastic about leveraging data for business growth, and like working in a fast-paced, start-up environment within the largest company in the U.S., we invite you to join a fun-loving, innovative team that sits at the heart of WMC. As WMC enters its “Era of Measurement”, the Senior Manager, Data Analytics – Reporting role will drive data transparency on the growth and development of WMC through expedited extraction of insights. In partnership with our Insights team, this role will play a crucial role, leading our efforts to drive faster data-driven decision-making via visualization tools, and serve as the data analytics authority to Directors on high-visibility projects.  

Responsibilities:  

• You will lead the creation and implementation of data visualization tools for the Insight team and other teams 

• Evaluate and enhance current data reporting methods for improved efficiency - Collaborate with data engineers to track ad success metrics and improve data model quality 

• You will use advanced SQL skills to manage data and conduct deep analyses 

• Use PowerBI and Tableau to create interactive dashboards and reports, and ensure team agreement 

• Foster a data-driven culture through training and advocacy for data in decision-making 

• Deliver effectively in a fast-paced environment with multiple projects and tight deadlines 

Qualifications: 

• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 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 and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field. 

• 1 year's supervisory experience. 

• Previous data analytics experience and familiarity with complex data sets is preferred, along with ability to interpret and manipulate data to identify patterns. Media & Advertising, eCommerce, CPG/retail background a plus. 

• Advanced proficiency in SQL and Excel (can maintain complex spreadsheets) is a must, additional experience with Python is a plus. Expert of data visualization tools like Power BI, Tableau, etc. 

• Excellent interpersonal and communication skills, ability to effectively convey complex data insights to a non-technical audience, align business requirements, manage prioritization, and meet deadlines, etc.  

• Possesses strong critical thinking skills, business acumen, and strong attentiveness to details with the ability to quickly identify and or correct irregularities.