Senior-Advanced Analytics - BIG DATA

AT&T - Plano, Texas

This position is typically found in Big Data and/or customer focused organizations where analysis of Big Data is critical to the success of the business. Uses advanced 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 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. 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: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.

Education: Preferred advanced college degree in Statistics, Mathematics and or Computer Science or Ph.D. in related fields; Data Analytics, Machine Learning, or Business Analyst nanodegree; or related expertise.

Experience: Typically possesses strong understanding of internal business segment or stakeholders and strong presentation skills. Typically requires 5-8 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing. Supervisory: No. Unable to retrieve job information. This job may not be available anymore. Sorry for the inconvenience.

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Posted: 30+ days ago

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