Senior Data Analyst, Customer Voice Customer Service & Call Center - Plano, TX at Geebo

Senior Data Analyst, Customer Voice

Position SummaryWhat you'll doAs a Senior Data analyst, you will play a prominent technical role to help uncover data and the insights and deliver outstanding business outcomes working closely with Product and Data Science team.
About Team:
Data VenturesData Ventures, akin to a nimble startup incubated within Walmart is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance.
What you'll do:
Understand business data requirements and analyze business systems and processes and help identify the most suitable source for data that is fit for purposeSupport the identification and application of statistical techniques based on requirements, assist in the planning, design, and implementation of an exploratory data analysis research projectsTranslate business requirements into projects, activities, and tasks and develops specific artifact.
Identify appropriate methods/tools to be leveraged to provide a solution for the problem.
Work closely with Data ScientistsGenerate appropriate graphical representations of data and model outcomes.
Understand customer requirements to design appropriate data representation for multiple data sets.
What you'll bring:
You have passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
You have experience working with large datasets, finding insights, and telling stories using data.
Ability to play with huge data and write code and queries in SQL, Python/R for data analysis.
You have comprehensive knowledge of Database technologies and distributed datastores (e.
g.
, SQL, NoSQL), also Bigdata and Cloud technologies like GCP BQ.
You have experience in visualization tools and best practices like Looker, PowerBI etc.
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 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.
About Walmart Global Tech Imagine working 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 epic impact and are leading the next retail disruption.
People are why we innovate, and people power our innovations.
We're Primarily Virtual We use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home.
This approach has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.
Of course, being together in person is an important part of our culture and shared success.
We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
Most of our team will make this permanent transition to our hybrid way of working as our new normal.
Our U.
S.
hubs are:
Austin, TX; Bentonville AR; Carlsbad, CA; Charlotte, NC; Dallas, TX, Hoboken, NJ; Portland, OR; Reston, VA; Seattle, WA and Sunnyvale, CA.
Who We Are Join Walmart and your work could help approximately 220 global customers live better every week.
Yes, we are the Fortune #1 company.
But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work.
Our mission spreads far beyond the walls of our stores.
Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry, and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Discover why we are a world leader in technology, diversity and inclusion, sustainability, and community involvement.
careers.
walmart.
com.
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.
#LI-MG 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 603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America Recommended Skills Analytical Apache Spark Assessments Business Intelligence Business Requirements Business Systems Estimated Salary: $20 to $28 per hour based on qualifications.

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