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Senior Data Analyst - Financial Modeling

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Walmart

2.7

Union City, NJ

Why you should apply for a job with Walmart:

  • All eligible associates have affordable options that include no lifetime maximum and eligible preventive care covered at 100%.

  • The enhanced maternity benefit supports birth moms with up to 10 weeks of protected paid time away from work.

  • Associates can take advantage of Resources for Living, a free confidential counseling and health information service.

FGB'ers' job reviews

51%
Say women are treated fairly and equally to men

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Position summary

Position Summary...

What you'll do...

About Project Diamond

Project Diamond is an exciting and high-profile project at Walmart whose purpose is to solve the biggest inventory challenges in retail using Artificial Intelligence, mobile devices, and embedded systems. We are a fast-moving, entrepreneurial team who recently graduated from Store No8, Walmart’s technology incubator, into Walmart Global Tech. Does the process of building a product from scratch, proving business value and rapidly scaling inspire you? Project Diamond might be just what you’re looking for!

Walmart Global Tech is transforming to meet the needs of the future of retail, ensuring that Walmart is that place in which people can grow their careers, and our organization ensures the best experience for the talent we manage and optimal service to the business. Leaders and individual contributors alike look to our Global Talent teams to influence talent strategy, optimize the recruiting process, and enable the business to make the best hiring decisions. This is that place where your passions meet purpose.

About the Role 

As a Senior Data Analyst for Project Diamond, you’ll leverage your sharp analytical skills and strategic thinking to develop and refine technical products and business models. You’ll be pioneering technologies that reinvent the customer and associate experience, new ways of working, and new ways of shopping. Working with a cross-functional team consisting of Store Operations, Product, Tech, UX, Engineering, and Data Scientists you will solve complex problems at scale. This is an individual contributor position.

You’ll sweep us off our feet if… 

  • You have significant experience building complex financial models and are able to translate model outputs into strategic product and business decisions
  • You are interested in understanding the ROI of technical products and have experience developing scalable business models
  • You’re able to pull metrics to improve performance and make strategic recommendations based on data
  • You have a test and learn mentality and an agile way of using data  
  • You have strong data visualization skills and a working knowledge of multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlibm Ploty, Tableau, PowerBI, etc.)
  • You’re excited about solving complex challenges and are customer-centric in spirit and in execution 
  • You’re comfortable influencing others, managing stakeholders, and communicating clearly 
  • You have experience with two or more of the following: retail, inventory, merchandising, artificial intelligence, IoT, computer vision and/or building custom camera hardware. 
  • You’ve worked in small teams/incubators

You’ll make an impact by: 

  • Defining business models and strategies – You will work collaboratively with teams across Walmart to locate, pull and utilize data to define and refine business models and strategies 
  • Building financial models – You will develop financial models that help your team understand and communicate the ROI of new technology
  • Defining business plans and projects – You will help identify best paths forward for technical projects, making recommendations for testing, rollout strategies, scaling and more
  • Improving technical products through data analysis – you pull and organize data to help the team understand, analyze and improve existing AI products
  • Establishing strong data best practices – You will act as a data leader by defining and promoting best practices for organizing, utilizing and communicating data

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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.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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...

221 RIVER ST, HOBOKEN, NJ 07030, United States of America

About the company

52045

Walmart

Industry: Retail: Supermarket Company

In 1962, Sam Walton started a single mom-and-pop shop and transformed it into the world’s largest retailer. Since those founding days, one thing has remained consistent: 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 (all 2.2 million of them).  When you join our Walmart family of ...

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