Senior Data Analyst

What you'll do...

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 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 re