Posted in Other 5 days ago.
Overall Purpose: This position is typically found in Big Data/CDO and/or customer focused organizations where analysis of Big Data and/or data from multiple sources including internal/external data, data lakes, data warehouses, etc. is critical to the success of the business. Uses intermediate skills in the use of predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources to explain or predict behavior and or solve a variety of business problems, build business cases and monetize products for sale.
Key Roles and Responsibilities: Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions on customer behavior. Projects may include churn analysis, customer behavior and segmentation, sales analysis, product level analysis (adoption, price elasticity modeling) and customer experience analysis. Builds predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly- developing within the Big-Data space. Uses basic machine learning / AI techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings. Advises business partners with regards to patterns and relationships in data to recommend business direction or outcomes. Job Contribution: Intermediate level technical professional. Subject matter technical knowledge within a discipline and sound understanding of AT&T technologies.
Education: Preferred advanced college degree in Statistics, Mathematics and or Computer Science or Ph.D. in related fields; Data Analytics or Machine Learning nanodegree; or related expertise. Experience: Typically possesses strong understanding of internal business segment or stakeholders and strong presentation skills. Typically requires 3-5 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing. Supervisory: No.