Position: Senior Data Analyst

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Data Source Identification: To support understanding of priority order of requirements and service level agreements. Help identify most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Data Strategy: To understand, articulate and apply principles of defined strategy to routine business problems that involve a single function. Understanding Business Context: 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: 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 problem. Share use cases and gives examples to demonstrate how method would solve business problem. Data Visualization: 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 team and business audience using 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. Profile, analyze and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver 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 removes or restricts user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies and Exploratory Data Analysis: To collect and tabulate data and evaluate results to determine accuracy, validity and applicability. Support identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in planning, design and implementation of an exploratory 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 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, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR Bachelor's degree or the equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field plus 2 years of experience in data analysis, data science, statistics, or related experience; OR 4 years of experience in data analysis, data science, statistics, or related experience.

Skills Required: Must have experience with: Report building and data visualization using Tableau and Power BI including design, development, deployment, and support of dashboards, and making business decisions based on the dashboard visualizations; Exploratory and Scenario analysis to find actionable insights in large datasets; NoSQL Databases including Big Query; Relational Databases including Azure; Analyzing and modeling structured and unstructured data to support analysis and measure performance; High level data processing and cleaning by writing and executing procedures and using complex queries and performance tuning; Data analysis, data science, and statistics; Analyzing and modeling structured and unstructured data to support scalability, and fault tolerance; Building and deploying predictive forecast models for package and site level outbound volume using SQL and Excel; Demand planning/estimation using Excel. Employer will accept any amount of experience with the required skills.

Rate of pay: $110,302.00 - 155,000.00 /year