Senior, Data Analyst

at  Walmart

Position Summary…
What you’ll do…
Are you a creative and driven data analyst ready to take on an exciting opportunity?
As a Senior Data analyst, you’ll be part of a collaborative team that’s dedicated to empowering transportation and end to end supply chain operators and leadership with actionable insights, reporting, and automation. You’ll be responsible for creating and maintaining backend data pipelines, frontend interactive reports, and business logic automation for business-critical decision support. We’re looking for someone who has experience with SQL, Python, Dataiku, Tableau, Tableau (Prep), Power BI, Google Big Query on cloud service and local server environments. The products managed and built by this role have a high degree of visibility with stakeholder consumers in the thousands or possess positions of significance. This is an exciting opportunity to work on projects that have a real impact on the success of the organization and to collaborate with others who share your passion for data analysis. Join our team and help us unleash the power of data to drive business success. The role is located in Bentonville, AR.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Supply Chain, Data Science, Computer Science, Analytics, Statistics or relevant field with 4 years of experience in analytics related field or Master’s degree in Supply Chain, Data Science, Computer Science, Analytics, Statistics or relevant field with 2 years of experience in analytics related.
• Six Sigma Certification (Green, Black) a plus
  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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

WHO WE ARE

Join Walmart and your work could help over 275 million 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. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you’ll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com
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.
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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.
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For information about PTO, see https://one.walmart.com/notices .‎‎
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.
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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.
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For information about benefits and eligibility, see One.Walmart .‎
The annual salary range for this position is $80,000.00-$155,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:

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• Stock

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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)

Data Source Identification:
Identify and evaluate potential data sources from internal and external sources.
Implement processes for acquiring and integrating data from various sources.
Ensure that the data is accurate, complete, and accessible.
Understand Business Context:
Work closely with stakeholders to understand business goals and requirements.
Translate business requirements into data requirements.
Develop an understanding of the industry and competitive landscape.
Technical Problem Formulation:
Formulate technical problems and solutions for data-related challenges.
Develop and implement algorithms for data analysis and modeling.
Evaluate and select appropriate software tools, frameworks, and technologies.
Data Visualization:
Design and execute effective data visualization strategies for presenting complex data.
Develop and implement effective dashboards and reports.
Collaborate with other teams to create impactful visualizations that support business decisions.
Data Quality Management:
Plan and lead efforts to ensure data quality and integrity.
Develop and implement data governance policies and procedures.
Monitor data quality metrics and proactively identify and address issues.
Exploratory Data Analysis:
Conduct exploratory analyses to generate insights and identify patterns in data.
Develop and implement statistical analyses and models.
Communicate findings and insights to stakeholders in a clear and impactful manner.