Walmart
Senior Data Analyst
Walmart, Sunnyvale, California, United States, 94087
What you'll do...
Position:
Senior Data AnalystJob Location:
860 W. California Avenue, Sunnyvale, CA 94086Duties:
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 align to overall business strategy and develop domain-specific artifacts. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to assigned area of work. Develop business models for financial payback. Identify the most suitable source for data. Maintain awareness of data quality. Identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes. Promote data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Execute operational Data Quality Management procedures. Conduct data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data under supervision of others. Grant user access to data. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverage rational arguments. 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 techniques 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. Use advanced knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis (for example, hypothesis tests, confidence intervals) and build basic statistical models using relevant packages and software suites. Develop, execute, and improve 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. Build commitment for perspectives and rationales.Minimum education and experience required:
Master's degree or the equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Information Systems, Finance, or related field;
OR
Bachelor's degree or the equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Information Systems, Finance, or related field and 2 years of experience in data analysis, data science, statistics, or related field.Skills Required:
Experience with report visualization using Tableau and Power BI tools. Experience querying at least one of the following: Relational Database Management Systems: DB2, MYSQL, or JDBC. Experience with experimental test design using DMAIC. Experience conducting root cause analysis using SQL, Microsoft (MS) Excel, and Tableau. Experience with financial modeling and estimation using Microsoft (MS) Excel. Experience with data pipelines using Google BigQuery Scheduler. Experience with technical process documentation using Confluence.
Employer will accept any amount of experience with the required skills.Salary Range:
$168,154/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity 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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Position:
Senior Data AnalystJob Location:
860 W. California Avenue, Sunnyvale, CA 94086Duties:
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 align to overall business strategy and develop domain-specific artifacts. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to assigned area of work. Develop business models for financial payback. Identify the most suitable source for data. Maintain awareness of data quality. Identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes. Promote data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Execute operational Data Quality Management procedures. Conduct data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data under supervision of others. Grant user access to data. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverage rational arguments. 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 techniques 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. Use advanced knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis (for example, hypothesis tests, confidence intervals) and build basic statistical models using relevant packages and software suites. Develop, execute, and improve 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. Build commitment for perspectives and rationales.Minimum education and experience required:
Master's degree or the equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Information Systems, Finance, or related field;
OR
Bachelor's degree or the equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Information Systems, Finance, or related field and 2 years of experience in data analysis, data science, statistics, or related field.Skills Required:
Experience with report visualization using Tableau and Power BI tools. Experience querying at least one of the following: Relational Database Management Systems: DB2, MYSQL, or JDBC. Experience with experimental test design using DMAIC. Experience conducting root cause analysis using SQL, Microsoft (MS) Excel, and Tableau. Experience with financial modeling and estimation using Microsoft (MS) Excel. Experience with data pipelines using Google BigQuery Scheduler. Experience with technical process documentation using Confluence.
Employer will accept any amount of experience with the required skills.Salary Range:
$168,154/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity 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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