Senior Data Analyst

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What you'll do...

Position: Senior Data Analyst 

Job Location: 1 Customer Dr, Mail Stop# 0215, Bentonville, AR, 72716 

Duties: Analyzes and interprets information for one or more initiative work streams to improve business efficiency by using various analytical methodologies; developing creative solutions within business areas that reduce cost and/or meet business goals; using judgment to assign what activities must be done; and ensuring data accuracy. Collect customer requirements, determine technical issues, conduct analytics tasks, and report insights and findings to executives and engineering teams. Identify new data sources and new methods to improve data collection, analysis, and reporting. Analyzes complex data to identify patterns and detect anomalies in data using statistical tools and machine learning algorithms and make recommendations to business areas to effectively assist them with decision making on operational or other business issues. Conduct advanced statistical analyses to provide actionable insights, identify trends, and measure performance. Develops and directs one or more work streams of a cross-functional project to achieve desired results by ensuring understanding of scope of work; organizing timelines and deliverables; facilitating meetings involving project teams to analyze, plan, and implement project initiatives; taking corrective action; and reporting results and deliverables to supervisors and stakeholders. Develops tools that support decision making and business cases by summarizing needed information; determining what information must be reported; ensuring customer needs are met; and analyzing an initiative's impact to the business. Assumes duties of Project Manager III, Supply Chain in the absence of the Project Manager III, Supply Chain by attending meetings; working directly with the project team members on specific projects and analyses; performing analyses; providing directional advice and guidance related to defined logistical issues; and determining which issues should be elevated to a higher priority. 

Minimum education and experience required: Master's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Finance or related field; OR Bachelor's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field. 

Skills required: Experience utilizing SQL and HIVE to manipulate large data sets, create data assets and present information in a format that drives adoption of new solutions. Experience with ETL, Data modelling, Data exploration and building data assets in R and Python. Experience with SQL Server, Teradata, GCP, Informix, Oracle, Big Data, and Tableau. Experience with Business Intelligence, Looker, and Thoughtspot. Experience creating Business Process Flow Diagrams and designing and developing analytical data flow diagrams. Experience with Microsoft Office Suite including Excel, PowerPoint, and Word. Experience planning and tracking