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Senior Data Analyst, Technical Business (Store No 8 | Conversational Commerce)
- Location NEW YORK, NY
- Career Area Data Analytics and Business Intelligence
- Job Function -
- Employment Type Regular/Permanent
- Position Type Salary
- Requisition WD624193
What you'll do at
What you'll do...
About Store No8
We are the incubation arm of Walmart. Store No8 was formed in 2017 as part of Walmart’s larger innovation mission to shape the future of commerce. We pursue big ideas and take risks by stepping outside of Walmart’s core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more. Our ultimate goal: fuel Walmart’s core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.
This team within Store Nº8 is reimagining how families shop and manage their households. They are hard at work designing new products that simplify the shopping experience and integrate naturally into a customer’s routine.
This position features flexibility for remote work with regular in-office collaboration. In-office locations include: New York-Hoboken NJ, Bentonville AR, Austin TX, San Francisco Bay Area, Seattle WA
About the Role
As a Senior Technical Business Analyst you’ll be a versatile jack/jill of all trades! With a focus in Data Engineering: Working with our data engineering teams to pull and extract interesting and meaningful data from a wide variety of internal data sources while providing guidance to Product Managers and Business Analysts on how to best utilize and transform the data to become insightful and actionable. This person will also have a heavy focus in data science and data evangelism. Utilizing a wide variety and resources and techniques to create forecasting to help us predict customer behavior and engagement while working with our business leadership to help them understand the value of data and communicate to our product managers about how to interpret trends and data.
What You’ll Do
Serve as the data liaison between Conversational Commerce and the greater Walmart data ecosystem. You’ll identify the key data lakes and connections that will give the team access to the data they need for amazing actionable insights
Lead oversight for the strategy for our data analytics and business intelligence infrastructure. You’ll work with the team to create a robust self-service data ecosystem also diving into the numbers to understand a big picture view of our data
Help develop and create production level forecasting and prediction models to move that can scale alongside the size of our customer base
What You’ll Need
Bachelor's degree in Business Adminsitration, Engineering, Computer Science, Economics, Math or a related field
At least 3+ years experience in an analytics engineering, business intelligence, consulting, marketing or technical data analytics role
Experience in LookML Development (Looker)
Experience with SQL and ETL optimization techniques, especially within BigQuery
Experience with statistical techniques such as linear regression and clustering models
Ability to leverage tools, business intuition, and attention to detail for data validation and QA
Excellent communication skills, particularly when explaining technical or complex matters to non-technical leaders and teammates
Nice to Have
Master's degree in Business (MBA), Economics, Computer Science, Math or a related technical field
Experience with NLP techniques and models such as tokenization and lemmatization
Experience with data streaming tech (such as Kafka, Beam, Spark etc….)
Experience with product and/or marketing team customer data in a B2C or CPG setting
Perks and Benefits
Beyond competitive pay, 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.
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
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.
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...250 Hudson St, NEW YORK, NY 10013-1006, United States of America
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.
"At Walmart, we get the opportunity to grow professionally and personally—all while improving how we work and what we deliver to consumers."
All the benefits you need for you and your family
- Multiple health plan options, including vision & dental plans for you & dependents
- Financial benefits including 401(k), stock purchase plans, life insurance and more
- Associate discounts in-store and online
- Education assistance for Associate and dependents
- Parental Leave
- Pay during military service
- Paid Time off - to include vacation, sick, parental
- Short-term and long-term disability for when you can't work because of injury, illness, or childbirth