Senior Data Analyst

What you'll do...

Position: Senior Data Analyst 

Job Location: 811 Excellence Dr, Bentonville, AR 72716 

Duties: 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. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. 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. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. 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 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. 

Minimum education and experience required: Master's degree or the equivalent in Statistics, Economics, Analytics or related field; OR Bachelor's degree or the equivalent in Statistics, Economics, Analytics or related field plus 2 years of experience in data analysis or related area. 

Skills Required: Must have experience with: Data analysis and reporting using Microsoft Excel; Querying relational databases using SQL for analytical purposes; Programming using Python for data analysis and reporting; Analyzing structured datasets using Python and Microsoft Excel to identify trends, patterns, and anomalies for analytical reporting; Querying and retrieving data from relational databases using SQL for analysis and reporting purposes; Programming in Python for data cleaning, manipulation, and basic statistical analysis; Performing data cleaning, validation, and quality checks using Python and spreadsheet tools to ensure data accuracy and consistency; Applying basic statistical analysis techniques using Python or Excel to interpret data and support analytical conclusions; Creating charts, tables, and visual summaries using spreadsheet tools or business intelligence tools to communicate analytical findings (powerBI, tableau); Preparing analytical reports and documentation using standard reporting tools to support business and operational analysis (Jira); Using Microsoft Excel for data analysis, aggregation, reporting, and visualization. Employer will accept any amount of experience with the required skills. 

 Rate of pay: Rate of pay: $110,032.00 - 180,000.00/year 

Wal-Mart is an Equal Opportunity Employer.