(USA) Senior Data Analyst - Commercialization

(USA) Senior Data Analyst - Commercialization

What you'll do at

Position Summary...

What you'll do...

What you'll do...

The position is in Product Analytics team within CSIS at Walmart Global Tech. The team is responsible for identifying ways to improve Product efficiency and providing actionable insights to various stakeholders in Product, Engineering, Operations across Supply Chain & Fulfillment areas.

The main duties include:

  • Develop data-driven business insights and work with cross-functional partners to identify opportunities and drive product strategy.
  • Define how teams measure success by developing Key Performance Indicators and other user/business metrics, in close partnership with Product Management and other disciplines such as engineering, operations and marketing.
  • Perform deep-dive analysis across all areas of our business to drive growth strategies.
  • Conduct advanced statistical analysis to provide recommendation of relevance, applicability and efficiency of product features.
  • Design and run experiments and develop dashboards and data visualizations to enable observability and to communicate results to leadership.
  • Answer complex business questions via SQL queries to enable business and product owners to make critical decisions.
  • Build Regression, Clustering and NLP models to enable us to present the best product data to customers.
  • Drive understanding of our users and their interaction with our products, through in-depth analyses of user interaction and engagement.
  • Work with cross functional group consisting of Product, Engineering & Operations managers to drive data-based decisions.

Technical skills:

  • Proficiency in SQL, Hadoop/Hive including R/Python.
  • Dashboard: Tableau, Looker, Google Analytics.

Analytical skills:

  • A/B testing frameworks, Machine learning frameworks.
  • Hypothesis testing, statistics and probabilities.

Strong communicator:

  • You effectively synthesize, visualize, and communicate your ideas to others
  • Storytelling and Newsletters

A self-starter: Can drive projects with limited guidance. Provide thought leadership by researching best practices and conducting experiments

Minimum 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.

What you'll do...

The position is in Product Analytics team within CSIS at Walmart Global Tech. The team is responsible for identifying ways to improve Product efficiency and providing actionable insights to various stakeholders in Product, Engineering, Operations across Supply Chain & Fulfillment areas.

The main duties include:

  • Develop data-driven business insights and work with cross-functional partners to identify opportunities and drive product strategy.
  • Define how teams measure success by developing Key Performance Indicators and other user/business metrics, in close partnership with Product Management and other disciplines such as engineering, operations and marketing.
  • Perform deep-dive analysis across all areas of our business to drive growth strategies.
  • Conduct advanced statistical analysis to provide recommendation of relevance, applicability and efficiency of product features.
  • Design and run experiments and develop dashboards and data visualizations to enable observability and to communicate results to leadership.
  • Answer complex business questions via SQL queries to enable business and product owners to make critical decisions.
  • Build Regression, Clustering and NLP models to enable us to present the best product data to customers.
  • Drive understanding of our users and their interaction with our products, through in-depth analyses of user interaction and engagement.
  • Work with cross functional group consisting of Product, Engineering & Operations managers to drive data-based decisions.

Technical skills:

  • Proficiency in SQL, Hadoop/Hive including R/Python.
  • Dashboard: Tableau, Looker, Google Analytics.

Analytical skills:

  • A/B testing frameworks, Machine learning frameworks.
  • Hypothesis testing, statistics and probabilities.

Strong communicator:

  • You effectively synthesize, visualize, and communicate your ideas to others
  • Storytelling and Newsletters

A self-starter: Can drive projects with limited guidance. Provide thought leadership by researching best practices and conducting experiments

Minimum 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.

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...

10790 PARKRIDGE DR. SUITE 200, RESTON, VA 20191, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

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.
Data Analytics at Walmart
"At Walmart, we get the opportunity to grow professionally and personally—all while improving how we work and what we deliver to consumers."
— Lola, Project Analyst

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National landmarks, museums, renowned restaurants—the D.C. Metro is a hub of activity and culture. It’s also a prime location for the future of tech.

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All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

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