Senior Manager, Data Analytics

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. 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. 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: 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 an interpreter and conduct to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. 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 guidance and leverage rational 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: 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. Delivery 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 exploration 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/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 required: 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, analyzing and presenting data using functions like VLOOKUP, index, match, sumifs, etc. Automating data and analytic solutions at scale. Analyzing clickstream data to derive insights from user journey. 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. Employer will 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.