at Wal-Mart Associates, Inc. in Bentonville, Arkansas, United States
Duties: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Guides peers/ fellow associates on basic modeling and analytics techniques to solve complex problems. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for complex data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. 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.
Minimum education and experience required: Bachelor’s degree or the equivalent in Statistics, Analytics, Computer Science, or related field plus two (2) years of experience in an analytics or related field; OR Master’s degree or the equivalent in Statistics, Analytics, Computer Science or related field; OR 4 years of experience in an analytics or related field.
Skills Required: Experience manipulating large scale data and writing complex queries to compute metrics using SQL. Experience building and analyzing dashboards for product teams using data visualization tools (Tableau, Microsoft Excel, Spotfire, or Oracle Apex). Experience performing exploratory analysis and reporting key metrics impacting product performance to stakeholders using R, Microsoft Excel, and Microsoft Access. Experience querying distributed systems using Hive. Experience performing statistical analysis (hypothesis testing/regression analysis) and developing algorithimic models using R. Experience extracting and querying large scale database systems like Teradata and Amazon Redshift. Experience designing and building scalable relational databases using Oracle. Experience performing product pricing analysis and building optimization models using Excel. Experience automating and optimizing scripts using PL/SQL. Experience organizing, tracking, capturing business workflows, prioritizing issues and new features using tools such as Confluence, Microsoft SharePoint, JIRA, or Bugzilla. Employer will accept any amount of professional experience with the required skills.
To apply for this position: Send your resume to email@example.com and reference the following Job ID number: R-747112