Senior Data Analyst
Senior Data Analyst
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Job Description
This notice is being provided as a result of the filing of an Application for Permanent Alien Labor Certification. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor: U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW Room N5311 Washington DC 20210
What youll do...
Position: Senior Data Analyst
Job Location: 860 W. California Avenue Sunnyvale CA 94086
Duties: Define metrics drive roadmaps and uncover opportunities to improve Walmart products. Help identify the most suitable source for data that is fit for purpose. Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives the business. Partner with product leaders designers and engineering managers to improve products and prioritize projects for impact. Provide data driven insights and deliver recommendations that address opportunities for product improvements. Represent the product analytics team in key meetings and business reviews with executive teams. Present to and influences the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Use statistical methods to generate and test hypotheses. This includes: Performing analytical deepdives to identify problems opportunities and actions required; Collecting processing and cleaning data from disparate sources using SQL R Python or other scripting and statistical tools. Managing the design execution and analysis of A/B tests; driving rigor and testing culture through product teams. Assist in the planning design and implementation of an exploratory data analysis research projects. Use advanced Knowledge in Data Discovery tools to write queries and analyze data to identify patterns trends outliers and correlations. 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.
Minimum education and experience required: Masters degree or the equivalent in Business Engineering (any) Statistics Economics Analytics Mathematics Finance Computer Science Information Technology or related field; OR Bachelors degree or the equivalent in Business Engineering (any) Statistics Economics Analytics Mathematics Finance Computer Science Information Technology or related field and 2 years of experience in data analysis data science statistics or related field.
Skills required: Experience driving incremental revenue for the company through proactive exploratory analysis. Experience conducting business reviews Summarizing complex data driven insights using thoughtfully selected visualizations and provide recommendations to shape the product roadmap. Experience using data visualization tools including Tableau Qlik or Spotfire for building dashboards/reports and data visualizations to help stakeholders track performance on an ongoing basis. Experience in multi million records of data using SQL based querying languages to query join manipulate process and aggregate datasets. Experience with deepdive analyses to investigate spikes/dips in KPIs and report actionable insights to help address business opportunities. Experience with MS Excel to manipulate data aggregate KPIs create summary tables or visualizations to present trends. Experience designing A/B tests interpret results conduct additional analysis when needed to support decision making. Experience with statistical analysis to interpret results (statistical significance pvalue assessment customer segmentation). Experience conducting analysis such as opportunity sizing root cause analyses cohort analyses performance trending audience profiling and pre vs post analysis. Experience working with data engineers to fill in data gaps by building new datasets enabling visibility into business performance. Experience developing data pipelines to aggregate and summarize data to enable automated reporting. Experience partnering with product teams to understand business questions/goals and improve digital products using data analysis with statistical techniques to address specific business functions. Employer will accept any amount of experience with the required skills.
Salary Range: $113949/year to $202000/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 performancebased 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 companypaid life insurance. Paid time off benefits include PTO (including sick leave) parental leave family care leave bereavement jury duty and voting. Other benefits include shortterm and longterm 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 .
WalMart is an Equal Opportunity Employer.
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Pay Rate...
$0.00Required Experience:
Senior IC
Employment Type
Full-Time
