Address
Form of workPosition Summary...
What you'll do...
As a Principal Data Analyst, you will lead a team of analysts and take ownership of project delivery and responsibilities playing a prominent technical role to help build data centric insights and product features. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectation.
Must have the following to be considered: SQL, Python, R, Looker, PowerBI, SQL, NoSQL, Big Data and Cloud technologies like GCP BQ.
Data Source Identification: Requires knowledge of Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
About Team:
At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team
What you'll do:
As a Principal Data Analyst, you will lead a team of analysts and take ownership of project delivery and responsibilities playing a prominent technical role to help build data centric insights and product features. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectation.
Must have the following to be considered: SQL, Python, R, Looker, PowerBI, SQL, NoSQL, Big Data and Cloud technologies like GCP BQ.
What you'll bring:
Translate complex business requirements into clear, concise data analysis plans and develop appropriate methodologies to address business needs.
• Analyze large and complex datasets to identify insights and opportunities that drive business value, use data to propose solutions.
• Effectively communicate insights and recommendations to business stakeholders through visualizations, presentations, and other storytelling methods.
• Develop and maintain a deep understanding of the retail industry, including the knowledge of retail operations (sales, inventory, etc.), customer data and behavior, supply chain management, as well as e-commerce (website and app traffic analysis).
• Lead a team of Data Analysts in managing their workloads, delegating tasks, making sure their work is aligned with business goals, and providing guidance on data analysis methodologies and techniques.
• Partner with product managers, data scientists, data engineers, as well as internal data source teams to ensure that data analysis work is properly scoped, planned, and executed.
• Ensure the quality, governance, and standards of data by developing and implementing data management policies and procedures.
• Understand business value and relevance of data and help build data enabled insights; Work on Strategy for data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.
• Passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
• Strong technical skills in SQL, Python, R, or other programming languages commonly used in data analysis.
• Awareness of software engineering principles, ability to develop and deploy appropriate analytic code.
• Well-versed experience in visualization tools and best practices like Looker, PowerBI etc.
• Experience working with large datasets, finding insights, and telling stories using data.
• Comprehensive knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
• Experience in leading and mentoring a team of Data Analysts.
• Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• (Strongly preferred) Prior experience working in the retail data sets
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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 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.
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...
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America
What you'll do...
As a Principal Data Analyst, you will lead a team of analysts and take ownership of project delivery and responsibilities playing a prominent technical role to help build data centric insights and product features. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectation.
Must have the following to be considered: SQL, Python, R, Looker, PowerBI, SQL, NoSQL, Big Data and Cloud technologies like GCP BQ.
Data Source Identification: Requires knowledge of Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
- Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem.
About Team:
At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team
What you'll do:
As a Principal Data Analyst, you will lead a team of analysts and take ownership of project delivery and responsibilities playing a prominent technical role to help build data centric insights and product features. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectation.
Must have the following to be considered: SQL, Python, R, Looker, PowerBI, SQL, NoSQL, Big Data and Cloud technologies like GCP BQ.
What you'll bring:
Translate complex business requirements into clear, concise data analysis plans and develop appropriate methodologies to address business needs.
• Analyze large and complex datasets to identify insights and opportunities that drive business value, use data to propose solutions.
• Effectively communicate insights and recommendations to business stakeholders through visualizations, presentations, and other storytelling methods.
• Develop and maintain a deep understanding of the retail industry, including the knowledge of retail operations (sales, inventory, etc.), customer data and behavior, supply chain management, as well as e-commerce (website and app traffic analysis).
• Lead a team of Data Analysts in managing their workloads, delegating tasks, making sure their work is aligned with business goals, and providing guidance on data analysis methodologies and techniques.
• Partner with product managers, data scientists, data engineers, as well as internal data source teams to ensure that data analysis work is properly scoped, planned, and executed.
• Ensure the quality, governance, and standards of data by developing and implementing data management policies and procedures.
• Understand business value and relevance of data and help build data enabled insights; Work on Strategy for data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.
• Passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
• Strong technical skills in SQL, Python, R, or other programming languages commonly used in data analysis.
• Awareness of software engineering principles, ability to develop and deploy appropriate analytic code.
• Well-versed experience in visualization tools and best practices like Looker, PowerBI etc.
• Experience working with large datasets, finding insights, and telling stories using data.
• Comprehensive knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
• Experience in leading and mentoring a team of Data Analysts.
• Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• (Strongly preferred) Prior experience working in the retail data sets
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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 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.
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...
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America
