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Added 2 hours ago
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Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field. Or equivalent
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Added 1 day ago
Senior, Data Analyst
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BENTONVILLE, AR
…others in the application of information and best practices; support and align efforts to meet customer and business needs; and build commitment for perspectives and rationales.…
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Added 1 day ago
WI
Senior, Data Analyst
Walmart Inc.
Bentonville, AR
- $127,171 to $155,000 USD / year
…others in the application of information and best practices; support and align efforts to meet customer and business needs; and build commitment for perspectives and rationales.…
Added 1 day ago
Child Support Senior Consultant Business Analyst - Human Service Transformation
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Walmart

Senior, Data Analyst

BENTONVILLE, AR, United States

Rate of pay: $127,171.00 - 155,000.00/year.

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Job details

Pay: Rate of pay: $127,171.00 - 155,000.00/year.
Education: Bachelor’s degree
Experience: OR 4 years of experience in data analysis, data science, or related experience.
Posting language: English
Posted: Oct 29, 2026

Original job description

Position: Senior, Data Analyst

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Tech. Problem Formulation: 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 give examples to demonstrate how the method would solve the business problem. Demonstrate up-to-date expertise and apply this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; support and align efforts to meet customer and business needs; and build commitment for perspectives and rationales. Understanding Business Context: Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Provide and support the implementation of business solutions by building relationships and partnerships with key stakeholders; identify business needs; determine and carry out necessary processes and practices; monitor progress and results; recognize and capitalize on improvement opportunities; and adapt to competing demands, organizational changes, and new responsibilities. Data Source Identification: 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. Data Visualization: Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influences the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Data Quality Management: Promote and educate others on data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver against data quality service level agreements. Manage operational Data Quality Management procedures. Manage data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determine user accessibility and remove or restrict user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. Exploratory Data Analysis: Collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in the planning, design and implementation of exploratory data analysis research projects. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Conduct statistical analysis and build basic statistical models using relevant packages/software suites. Data Strategy: Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.

Minimum education and experience required: Bachelor's degree or the equivalent in Business, Engineering, Statistics, Economics, Analytics, Information Technology, or related field plus 2 years of experience in data analysis, data science, or related experience; OR 4 years of experience in data analysis, data science, or related experience.

Skills Required: Must have experience with: Developing storytelling dashboards in Tableau Desktop and PBI and publishing them on a server which has connected with different data sources such as: Oracle (GRS/CKB), My SQL, Teradata, Prod 17, DB2 and GCP(BQ); Work on migration of Teradata Database to GCP and Hadoop system; Using Query IT, Hive tool to access Hadoop files; Blending data from multiple sources to discover new opportunities; Working to develop a front-end navigation scheme to support a formal dashboard portfolio strategy, including strategic, tactical, and operational dashboards; Migrating existing legacy reports into Tableau while building new reports from formal data warehouse initiative; Working to develop and manage the Tableau semantic layer through reusable data sources and KPIs helping client to see the trends in the sales data and forecast sales; Creating and extracting large data sets on sales and shared files to performing complex computations using Python to create a BQ tables and schedule refresh; Developing Spark code using Scala, Python and Spark SQL to fetch item and product related data from different data sources; Performance tuning of Targets, Sources, Mappings and Sessions; Performing real-time analysis of the incoming data using Kafka consumer API, Kafka topics, Spark Streaming utilizing Scala; PL/SQL programming - Stored Procedures, Functions, Packages, SQL tuning, and creation of Objects - Tables, Views, Materialized Views, Triggers, Sequences, Synonyms, etc. Employer will accept any amount of experience with the required skills.

Rate of pay: $127,171.00 - 155,000.00/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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More about this job

Skills

Relationship building
Statistical quality control
Data visualization
Communication skills
Quality assurance procedures
Inspect data
Manage data
Data analysis
Leadership
Research
Statistics
Computer technology
Tableau
Oracle
SQL
Teradata
IBM DB2
Google Cloud
Teradata Database
Apache Hadoop
Apache Hive
Data warehouse
Sales
Python
Apache Spark
Scala
Apache Kafka
Oracle PL/SQL

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