Walmart
Senior, Data Analyst
Walmart, Trenton, New Jersey, United States,
We are looking for experienced engineers with a growth mindset to join a growing team. Our engineers combine creativity, curiosity, and drive to get things done. We discuss new ideas openly and provide candid feedback constructively. You will be a key member of the platform team and will be responsible for a wide range of analytics features, initiatives, and enhancements. If you thrive in a dynamic environment where you are involved in designing, implementing and iteratively improving crucial features, then this is the job for you!
About Team:Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.
What you'll do:
Work with the stakeholders to understand the business & reporting needs – Propose, design and develop creative dashboard solutions that provides required insight, improve/automate processes and adds value
Provide technical expertise in areas of architecture, design, and implementation.
Collaborate with cross-functional teams to design and build systems
Influence and educate the team with your experience, idea and learning
Build and maintain data pipelines and architecture specific to analytics
What you'll bring:
Experience leveraging big data technologies such as Hive, Hadoop, Spark
Experience with SQL, Pyspark, BigQuery
Experience with visualization tools for data reporting such as Tableau, Looker
ETL Experience
Excellent communication skills for collaborating with other teams
About Walmart Global TechImagine 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 experts 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: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.
The annual salary range for this position is $96,000.00-$186,000.00. Additional compensation includes annual or quarterly performance bonuses and stock options.
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: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
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About Team:Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.
What you'll do:
Work with the stakeholders to understand the business & reporting needs – Propose, design and develop creative dashboard solutions that provides required insight, improve/automate processes and adds value
Provide technical expertise in areas of architecture, design, and implementation.
Collaborate with cross-functional teams to design and build systems
Influence and educate the team with your experience, idea and learning
Build and maintain data pipelines and architecture specific to analytics
What you'll bring:
Experience leveraging big data technologies such as Hive, Hadoop, Spark
Experience with SQL, Pyspark, BigQuery
Experience with visualization tools for data reporting such as Tableau, Looker
ETL Experience
Excellent communication skills for collaborating with other teams
About Walmart Global TechImagine 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 experts 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: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.
The annual salary range for this position is $96,000.00-$186,000.00. Additional compensation includes annual or quarterly performance bonuses and stock options.
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: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
#J-18808-Ljbffr