Position: Senior Data Analyst 

Job Location: 702 S.W. 8TH ST., Bentonville, AR 72716 

Duties: Data Source Identification: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To 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 Strategy: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Understanding Business Context: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To 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 an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Tech. Problem Formulation: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To 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 gives examples to demonstrate how the method would solve the business problem. Data Visualization: Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To 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 leverages rational arguments. 

Minimum education and experience required: Master’s degree or the equivalent in Information Technology and Management, Engineering (any), or related field; OR Bachelor’s degree or the equivalent in Information Technology and Management, Engineering (any), or related field and 2 years of experience in data analytics or related field. 

Skills required: Must have experience with: Experience with cleaning data and performing deep dive analytics to tell a story around data using Google Cloud Platform. Experience with creating Dashboards for reporting and visualization purposes using Tableau. Experience with performing regression and creating bar plots using Statistical Analysis with R. Experience with organizing projects implementing waterfall/agile methodologies using Project Management. Experience with using SQL to extract data from database and performing analysis on data using SSMS. Experience with utilizing various relational databases to interact with data, creating, updating, traversing and merging using Database Management. Experience with creating schedulers to automate tasks including sending emails and project tracking using Microsoft Power Automate. Experience with cleaning data and exporting data into SSMS using Python. Experience with reporting data, formatting and implementing Calculated fields, performing Vlookup and macros using Excel. Experience with creating a process to automate data fetching transforming and converting data into usable tables using ETL. Employer will accept any amount of experience with the required skills. 

Wal-Mart is an Equal Opportunity Employer. 

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