Highlights
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. Minimum education and experience required: Master’s degree or the equivalent in Business, Engineering, Statistics or related field and 1 year of experience in data analysis or a related field; OR Bachelor’s degree or the equivalent in Business, Engineering, Statistics or related field, plus 3 years of experience in data analysis or a related field.
Numbers & Facts
| Location | Bentonville, Arkansas |
| Industry | Retail |
| Salary | $94,557–$180,000 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1962 |
| Website | https://careers.walmart.com/ |
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 N-5311, Washington, DC 20210
What you'll do...
Position:Senior Manager, Data Analytics
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. Identifyappropriate methods/toolsto beleveragedto provide a solutionforthe problem.Share use cases and give examples to demonstrate how the method would solve the business problem.Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance; accordingly, developing contingency plans; and demonstrating adaptability and supporting continuous learning. Understanding Business Context:solvecomplex 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 anddevelopsdomain specificartifact. Serve as an interpreter and conduct to connect business needs with tangible solutions and results.Identifyand recommend relevant business insightspertaining totheir area of work. Data Source Identification: support the understanding of the priority order of requirements and service level agreements. Helpidentifythe most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Data Visualization: generateappropriate graphicalrepresentations of data and model outcomes. Understand customer requirements to designappropriate datarepresentation for multiple data sets. Work with User Experience designers and User Interface engineers asto build front end applications. Present to andinfluencesthe team and business audience using theappropriate datavisualization frameworks andconveysclear messages through business and stakeholder understanding. Customize communication style based on stakeholder guidance andleveragerational arguments. Guide and mentor junior associates story types, structures, and techniques based on context. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. Data Quality Management:promoteand educate others on data quality awareness. Profile, analyze, and assess data quality. Test andvalidatedata quality requirements. Continuously measure and monitor data quality. Delivery against data quality service level agreements. Manage operational Data Quality Management procedures. Manage data quality issues andleadsdata cleansing activities to remove data quality defects, improve data quality, andeliminateunused data.Determineuser 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 todetermineaccuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitabletechniqueunder direction from leadership.Assistin the planning,designand implementation of exploration data analysis research projects. Understand existing statistical models andidentifyand recommend statistical models based on hypothesis. Use advanced Knowledge in Data Discovery tools to write queries and analyze data toidentifypatterns, trends, outliers, and correlations. Conduct statistical analysis (forexamplehypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites.
Minimum education and experience required:Master’s degree or the equivalent in Business, Engineering, Statistics or related field and 1 year of experience in data analysis or a related field; OR Bachelor’s degree or the equivalent in Business, Engineering, Statistics or related field, plus 3 years of experience in data analysis or a related field.
Skills: Must have experience with:SQL, Hive, Cloud Data Warehouse (ex.BigQuery, Redshift). Programming (Python, C#). Experimentation and Statistical Analysis. KPI Design & Measurement. Collaborate with stakeholders across product, design, and engineering to translate business needs into actionable insights and measurable outcomes. Providing recommendations from complex analytics to the executive audience. Using Advance excel for manipulating,analyzingand presenting data using functions like VLOOKUP, index, match,sumifs, etc. Automating data and analytic solutions at scale. Analyzing clickstream data to derive insights from userjourney. Creating data visualization using business intelligence tools. Ex. Looker, Tableau and Power BI. Experience conducting code reviews. Statistical tools and languages like R and Python.Employerwill accept any amount of experience with the required skills.
Rate of pay:$94,557.00 - 180,000.00/year
Wal-Mart is an Equal Opportunity Employer.
Pay Rate...
$0.00Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.About Company
What started small, with a single discount store and the simple idea of selling more for less, has grown over the last 50 years into the largest retailer in the world. Each week, nearly 265 million customers and members visit our more than 11,200 stores under 55 banners in 27 countries and eCommerce websites in 10 countries. With fiscal year 2018 revenue of $500.3 billion, Walmart employs over 2.2 million associates worldwide. Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It’s all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world.