Explore 8 data visualization developer jobs from 2 hiring companies in Neosho, MO, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Data Visualization Developer

Joplin

Carthage

Bella Vista

Webb City

Miami

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Carl Junction

Siloam Springs

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Data Visualization Developer Jobs

Tyson Foods

Walmart

Onsite

Job Details:Job Summary:The Senior Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures. This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems to help drive better business outcomes. Your insights will help shape strategic decisions and enhance operational performance.Essential Duties and Responsibilities:<ul><li>Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.</li><li>Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.</li><li>Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.</li><li>Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards.</li><li>Implement advanced data governance frameworks and ensure robust data security measures.</li><li>Optimize cloud costs by strategically using cloud resources and efficient data architectures.</li><li>Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.</li><li>Interact with 3rd party vendors to incorporate new functionality and evaluate tools.</li><li>Resolve complex escalations and situations, driving effective resolutions.</li><li>Ensure adherence to data privacy and security practices to protect sensitive information.</li><li>Communicate effectively with stakeholders to understand and address their needs through data visualization.</li><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice.</li></ul>Education: Bachelor’s or master’s degree in Business, Analytics, Data Science, Supply Chain Management, or a related field required. 4 years of related experience may be acceptable.  Preferred Certification(s): Any relevant certifications.  Experience: 3&#43; years of relevant and practical experience required; experience in transportation data preferred. Special Skills:<ul><li>Advanced skills in data streaming and real-time data processing.</li><li>Expertise in designing complex data architectures and scalable systems.</li><li>Deep knowledge of big data technologies and extensive experience with data security measures.</li><li>Ability to lead data architecture reviews and approvals.  </li></ul>Soft Skills:<ul><li>Project Management: Learning and understanding complex data initiatives from conception to completion.</li><li>Mentorship: Guiding junior team members in their professional development</li><li>Strategic Thinking: Aligning data solutions with broader organizational goals.</li><li>Communication: Articulating data strategies to both technical and non-technical stakeholders.</li><li>Problem-Solving: Resolving complex data challenges and escalations.</li><li>Adaptability: Staying current with rapidly evolving data technologies and best practices.</li><li>Creativity: Innovating new approaches to data pipeline design and optimization.</li></ul>* RESUME REQUIRED TO BE CONSIDERED FOR THIE ROLE *Relocation Assistance Eligible:NoWork Shift:1ST SHIFT (United States of America)Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended. Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

Senior Data Engineer - Logistics

Senior Data Engineer

3+ years data engineering with streaming pipelines, data governance, cloud cost optimization, ETL design, SQL and visualization.

Job Details:Job SummaryThe Data Engineer advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment. Data Engineers work closely with cross-functional teams to evaluate data, develop reports, and provide actionable insights to drive efficiency and cost savings.Essential Duties and Responsibilities:<ul><li>Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.</li><li>Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.</li><li>Build, deploy, and support data visualization solutions that effectively communicate data insights.</li><li>Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.</li><li>Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.</li><li>Enforce data governance policies and ensure compliance with data security standards.</li><li>Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.</li><li>Contribute to the development of data architecture and support data streaming initiatives.</li><li>Implement basic data pipeline orchestration and assist in integrating big data technologies.</li><li>Build strong business relationships by understanding processes, requirements, systems, and terminology.</li><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice.</li></ul>Education: Bachelor’s or master’s degree in Business, Analytics, Data Science, Supply Chain Management, or a related field required. 4 years of related experience may be acceptable.Preferred Certification(s): Any relevant Certification.Experience: 1&#43; years relevant or practical experience required; experience in transportation data preferred.Special Skills:<ul><li>Proficiency in SQL, data visualization and basic ETL tools.</li><li>Understanding of data warehousing concepts and basic data architecture.</li><li>Familiarity with data pipeline orchestration and monitoring.</li><li>Initial exposure to big data technologies.</li></ul>Soft Skills:<ul><li>Initiative: Proactively identifying and proposing data solutions.</li><li>Teamwork: Collaborating effectively with stakeholders across departments. Communication: Ability to explain complex data concepts to non-technical audiences.</li><li>Critical Thinking: Analyzing data architecture needs and proposing improvements.</li><li>Adaptability: Quickly learning and applying new big data technologies.</li><li>Time Management: Balancing multiple projects and priorities effectively.</li><li>Attention to Detail: Ensuring data accuracy and quality in all processes.</li></ul>* RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE *Relocation Assistance Eligible:NoWork Shift:1ST SHIFT (United States of America)Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended. Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

Logistics Data Engineer (Springdale, AR Terminal Office)

Logistics Data Engineer

Bachelor’s or master’s degree; 1+ years data engineering experience; SQL, ETL, data visualization; data warehousing knowledge; ability to develop dashboards.

Senior data engineer with 3+ years in data streaming, ETL, data governance, and cloud cost optimization; strong SQL and visualization skills; able to lead complex data projects.

Bachelor’s or master’s degree in Business, Analytics, Data Science, or related field; 1+ years experience; SQL, ETL, data visualization; dashboard development; Springdale, AR; full-time.

Job Details:Job SummaryThe Data Engineer advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment. Data Engineers work closely with cross-functional teams to evaluate data, develop reports, and provide actionable insights to drive efficiency and cost savings.Essential Duties and Responsibilities:<ul><li>Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.</li><li>Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.</li><li>Build, deploy, and support data visualization solutions that effectively communicate data insights.</li><li>Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.</li><li>Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.</li><li>Enforce data governance policies and ensure compliance with data security standards.</li><li>Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.</li><li>Contribute to the development of data architecture and support data streaming initiatives.</li><li>Implement basic data pipeline orchestration and assist in integrating big data technologies.</li><li>Build strong business relationships by understanding processes, requirements, systems, and terminology.</li><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice.</li></ul>Education: Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field preferred. 4 years of related experience may be acceptable.Preferred Certification(s): Any relevant Certification.Experience: 1&#43; years relevant or practical experience.Special Skills:<ul><li>Proficiency in SQL, data visualization and basic ETL tools.</li><li>Understanding of data warehousing concepts and basic data architecture.</li><li>Familiarity with data pipeline orchestration and monitoring.</li><li>Initial exposure to big data technologies.</li></ul>Soft Skills:<ul><li>Initiative: Proactively identifying and proposing data solutions.</li><li>Teamwork: Collaborating effectively with stakeholders across departments. Communication: Ability to explain complex data concepts to non-technical audiences.</li><li>Critical Thinking: Analyzing data architecture needs and proposing improvements.</li><li>Adaptability: Quickly learning and applying new big data technologies.</li><li>Time Management: Balancing multiple projects and priorities effectively.</li><li>Attention to Detail: Ensuring data accuracy and quality in all processes.</li></ul>* RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE *Relocation Assistance Eligible:NoWork Shift:1ST SHIFT (United States of America)Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended. Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

Bachelor’s or master’s degree preferred; 1+ year experience; strong SQL, data visualization, ETL, and data warehousing knowledge.

Job Details:Job SummaryThe Senior Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures. This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems to help drive better business outcomes. Your insights will help shape strategic decisions and enhance operational performance.Essential Duties and Responsibilities:<ul><li>Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.</li><li>Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.</li><li>Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.</li><li>Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards.</li><li>Implement advanced data governance frameworks and ensure robust data security measures.</li><li>Optimize cloud costs by strategically using cloud resources and efficient data architectures.</li><li>Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.</li><li>Interact with 3rd party vendors to incorporate new functionality and evaluate tools.</li><li>Resolve complex escalations and situations, driving effective resolutions.</li><li>Ensure adherence to data privacy and security practices to protect sensitive information.</li><li>Communicate effectively with stakeholders to understand and address their needs through data visualization.</li><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice.</li></ul>Education: Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field preferred.  4 years of related experience may be acceptable.  Preferred Certification(s): Any relevant certifications.  Experience: 3&#43; years of relevant and practical experience. Special Skills:<ul><li>Advanced skills in data streaming and real-time data processing.</li><li>Expertise in designing complex data architectures and scalable systems.</li><li>Deep knowledge of big data technologies and extensive experience with data security measures.</li><li>Ability to lead data architecture reviews and approvals.  </li></ul>Soft Skills:<ul><li>Project Management: Learning and understanding complex data initiatives from conception to completion.</li><li>Mentorship: Guiding junior team members in their professional development</li><li>Strategic Thinking: Aligning data solutions with broader organizational goals.</li><li>Communication: Articulating data strategies to both technical and non-technical stakeholders.</li><li>Problem-Solving: Resolving complex data challenges and escalations.</li><li>Adaptability: Staying current with rapidly evolving data technologies and best practices.</li><li>Creativity: Innovating new approaches to data pipeline design and optimization.</li></ul>* RESUME REQUIRED TO BE CONSIDERED FOR THIE ROLE *Relocation Assistance Eligible:NoWork Shift:1ST SHIFT (United States of America)Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended. Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

Senior Data Engineer - Logistics (Springdale, AR Terminal Office)

3+ years in data engineering with streaming, ETL, governance; strong SQL/scripting; cloud cost optimization; data visualization; vendor interaction.

Internal Management &amp; Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates.Relocation Assistance Eligible:NoReferral Payout Eligible:NoContinue growing with our family. Our team members make it happen. If you want to continue to grow in a new role internally and see a position that looks right for you, we encourage you to apply! Thanks for your commitment to Tyson Foods. Management Level: P3Job SummaryThe Data Engineer advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment. Data Engineers work closely with cross-functional teams to evaluate data, develop reports, and provide actionable insights to drive efficiency and cost savings.Essential Duties and Responsibilities:<ul><li>Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.</li><li>Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.</li><li>Build, deploy, and support data visualization solutions that effectively communicate data insights.</li><li>Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.</li><li>Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.</li><li>Enforce data governance policies and ensure compliance with data security standards.</li><li>Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.</li><li>Contribute to the development of data architecture and support data streaming initiatives.</li><li>Implement basic data pipeline orchestration and assist in integrating big data technologies.</li><li>Build strong business relationships by understanding processes, requirements, systems, and terminology.</li><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice.</li></ul>Education: Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field preferred. 4 years of related experience may be acceptable.Preferred Certification(s): Any relevant Certification.Experience: 1&#43; years relevant or practical experience.Special Skills:<ul><li>Proficiency in SQL, data visualization and basic ETL tools.</li><li>Understanding of data warehousing concepts and basic data architecture.</li><li>Familiarity with data pipeline orchestration and monitoring.</li><li>Initial exposure to big data technologies.</li></ul>Soft Skills:<ul><li>Initiative: Proactively identifying and proposing data solutions.</li><li>Teamwork: Collaborating effectively with stakeholders across departments. Communication: Ability to explain complex data concepts to non-technical audiences.</li><li>Critical Thinking: Analyzing data architecture needs and proposing improvements.</li><li>Adaptability: Quickly learning and applying new big data technologies.</li><li>Time Management: Balancing multiple projects and priorities effectively.</li><li>Attention to Detail: Ensuring data accuracy and quality in all processes.</li></ul>* RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE *Work Shift:1ST SHIFT (United States of America)Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.<div><div><div><div><div><div><div><div><div><div><div><div><div><div>CCPA Notice. If you are a California resident, and would like to learn more about what categories of personal information we collect when you apply for this job, and how we may use that information, please read our CCPA Job Applicant Notice at Collection, <a href="https://www.tysonfoods.com/sites/default/files/2020-07/CCPA%20applicant%20notification.pdf" target="_blank">click here</a>.</div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bachelor’s or Master’s degree preferred; 1+ year experience; SQL, ETL, data warehousing concepts; data visualization; dashboards; cloud cost optimization; strong communication.

<h2>Position Summary...</h2>Walmart is seeking a Principal Data Analyst to lead advanced analytics initiatives that drive strategic business decisions. This role involves formulating complex technical problems, identifying and validating data sources, and delivering actionable insights through sophisticated data visualization and exploratory analysis. The successful candidate will translate business requirements into data- driven strategies, mentor team members, and collaborate across functions to enhance data quality and management. This position requires expertise in analytics, data strategy, and communication to influence stakeholders and support continuous improvement aligned with Walmart’s business objectives.<h2>What you&#39;ll do...</h2><ul><li>Analyze complex business problems using advanced data analytics and automation techniques to identify root causes and recommend effective solutions.</li><li>Articulate complex DQ rules based on the assets that were Identify</li><li>Build agents that will automatically generate DQ rules or explain DQ failures to the Business.</li><li>Work with the larger Data Stewardship community to fix DQ failures at the source.</li><li>Translate business requirements into actionable data strategies aligned with organizational objectives.</li><li>Develop and deliver compelling data visualizations and insights to influence stakeholders.</li><li>Mentor team members on analytics methods, data quality standards, and visualization best practices.</li><li>Collaborate cross-functionally to drive execution of data projects and continuous improvement efforts.</li></ul><h2> What you&#39;ll bring...</h2><ul><li>Extensive experience in data analysis, data visualization, and exploratory data analysis using tools such as Python, Power BI, and Tableau.</li><li>Strong knowledge of data quality management, data profiling, and data cleansing techniques to ensure accuracy and reliability of data.</li><li>Proven ability to translate complex business requirements into actionable data strategies and technology-focused solutions.</li><li>Expertise in identifying and integrating multiple data sources, including SQL and NoSQL databases, to support business insights.</li><li>Demonstrated leadership in mentoring associates and guiding data-driven decision-making aligned with business objectives.</li><li>Proficiency in applying statistical methods and machine learning techniques to generate meaningful business impact.</li></ul>
 
About the team... The Data Quality team ensures data integrity across Walmart’s ecosystem through rigorous inline validations and post-load business checks. Leveraging advanced machine learning and anomaly detection, the team identifies irregularities in real-time across data pipelines. Their comprehensive certification and monitoring framework supports consistent data quality. Collaborating closely with stakeholders, the team drives process improvements and data governance initiatives that uphold high data standards. This enables informed, data-driven decision-making and supports business development efforts, ensuring reliable and accurate data is available to meet organizational goals. 
 
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
 
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. 
 
For information about PTO, see <a href="https://one.walmart.com/notices" target="_blank" rel="noopener noreferrer">https://one.walmart.com/notices</a>. 
 
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 
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 a specific plan or program terms. 
For information about benefits and eligibility, see <a href="https://one.walmart.com/">One.Walmart</a>. 
 
The annual salary range for this position is $90,000.00 - $180,000.00 
 
Additional compensation includes annual or quarterly performance bonuses. 
 
Additional compensation for certain positions may also include : 
- Stockㅤㅤㅤㅤ‎ <h2></h2><h2>Minimum Qualifications...</h2>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 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.<h2></h2><h2>Preferred Qualifications...</h2>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)<h2></h2><h2>Primary Location...</h2>1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Principal, Data Analyst, Quality (Data Ventures)

Data Analyst

Lead analytics, develop data strategies, mentor, collaborate; strong data visualization and data quality, experience Python/BI/Tableau, data integration.

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