(USA) Senior, Data Analyst
COMFORT SYSTEMS, Douglas, GA, United States
Position Summary
Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain network. This role is focused on improving how frontline managers operate by reducing manual work, automating workflows, and enabling smarter, faster decision-making through data and AI-driven solutions. You will partner directly with operations teams to identify pain points, translate business challenges into scalable technical solutions, and build tools that enhance efficiency across distribution centers. This position blends strong technical expertise with business acumen and stakeholder influence, making it ideal for someone who enjoys solving real-world operational problems with data and technology.
About the Team
You will join a small, high-impact technical team led by Spencer Jordan that supports Walmart’s ambient supply chain, specifically general merchandise distribution centers. The team develops network-wide tools and solutions used across both field operations and the home office (HQ). This team is focused on driving innovation through data, automation, and AI—building scalable solutions that improve operational efficiency and decision‑making. With a collaborative and fast‑paced environment, the team partners closely with cross‑functional stakeholders to deliver measurable business impact.
What You’ll Do
Partner with field operations teams to understand workflow challenges and identify opportunities for improvement
Design and build scalable data and automation solutions to reduce manual processes
Leverage AI and intelligent workflows to enhance speed, accuracy, and decision‑making
Translate complex business problems into actionable, data‑driven solutions
Develop dashboards, reports, and visualizations to communicate insights effectively
Identify, evaluate, and manage data sources to ensure accuracy and reliability
Perform data quality assessments and maintain ongoing monitoring processes
Collaborate cross‑functionally with operations, product, and analytics teams to implement solutions
Influence stakeholders and drive adoption of new tools and processes
Mentor junior analysts and promote best practices in data analysis and visualization
What You’ll Bring
Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux environments, and API integration
Experience building tools or solutions that automate workflows and improve operational efficiency
Background in data analytics, software development, or web development
Familiarity with applying AI or intelligent automation to solve business problems
Strong problem‑solving skills with the ability to translate business needs into technical solutions
Excellent communication and stakeholder management skills
Ability to work cross‑functionally and influence without direct authority
Compensation and Benefits
The annual salary range for this position is $80,000.00 – $155,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.
Benefits include health (medical, vision, and dental), 401(k), company stock purchase program, life insurance, PTO (including sick leave, parental leave, family care leave, bereavement, jury duty, and voting), short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Additional details available at https://one.walmart.com
otices.
Minimum Qualifications
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.
Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years’ experience in data analysis, data science, statistics, or related field.
Preferred Qualifications
Data science, data analysis, statistics, or related field background.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau).
Primary Location
DOUGLAS, GA 31533-2111, United States of America
Equal Employment Opportunity
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, abilities, ideas and opinions—while being inclusive of all people.
Drug‑free Workplace
Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.
#J-18808-Ljbffr
Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain network. This role is focused on improving how frontline managers operate by reducing manual work, automating workflows, and enabling smarter, faster decision-making through data and AI-driven solutions. You will partner directly with operations teams to identify pain points, translate business challenges into scalable technical solutions, and build tools that enhance efficiency across distribution centers. This position blends strong technical expertise with business acumen and stakeholder influence, making it ideal for someone who enjoys solving real-world operational problems with data and technology.
About the Team
You will join a small, high-impact technical team led by Spencer Jordan that supports Walmart’s ambient supply chain, specifically general merchandise distribution centers. The team develops network-wide tools and solutions used across both field operations and the home office (HQ). This team is focused on driving innovation through data, automation, and AI—building scalable solutions that improve operational efficiency and decision‑making. With a collaborative and fast‑paced environment, the team partners closely with cross‑functional stakeholders to deliver measurable business impact.
What You’ll Do
Partner with field operations teams to understand workflow challenges and identify opportunities for improvement
Design and build scalable data and automation solutions to reduce manual processes
Leverage AI and intelligent workflows to enhance speed, accuracy, and decision‑making
Translate complex business problems into actionable, data‑driven solutions
Develop dashboards, reports, and visualizations to communicate insights effectively
Identify, evaluate, and manage data sources to ensure accuracy and reliability
Perform data quality assessments and maintain ongoing monitoring processes
Collaborate cross‑functionally with operations, product, and analytics teams to implement solutions
Influence stakeholders and drive adoption of new tools and processes
Mentor junior analysts and promote best practices in data analysis and visualization
What You’ll Bring
Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux environments, and API integration
Experience building tools or solutions that automate workflows and improve operational efficiency
Background in data analytics, software development, or web development
Familiarity with applying AI or intelligent automation to solve business problems
Strong problem‑solving skills with the ability to translate business needs into technical solutions
Excellent communication and stakeholder management skills
Ability to work cross‑functionally and influence without direct authority
Compensation and Benefits
The annual salary range for this position is $80,000.00 – $155,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.
Benefits include health (medical, vision, and dental), 401(k), company stock purchase program, life insurance, PTO (including sick leave, parental leave, family care leave, bereavement, jury duty, and voting), short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Additional details available at https://one.walmart.com
otices.
Minimum Qualifications
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.
Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years’ experience in data analysis, data science, statistics, or related field.
Preferred Qualifications
Data science, data analysis, statistics, or related field background.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau).
Primary Location
DOUGLAS, GA 31533-2111, United States of America
Equal Employment Opportunity
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, abilities, ideas and opinions—while being inclusive of all people.
Drug‑free Workplace
Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.
#J-18808-Ljbffr