Senior-Advanced Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At AT&T, we’re connecting the world through the latest tech, top-of-the-line communications and the best in entertainment. Innovation powers all that we do, and our groundbreaking solutions deliver compelling communication and entertainment experiences to millions of customers worldwide. As part of our team, your next big idea could be our newest innovation. Here’s your opportunity to combine your passions for entertainment, media and technology to transform our company and your career.

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 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, build business cases and monetize products for sale.

Position is Virtual

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: 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.

Our Senior-Advanced Analytics earn between $105,000.00 - $210,100.00. Not to mention all of the other amazing rewards that working at AT&T offers. 
From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here.

Principal Functional Skills / Competencies associated with this Title:

• Business Assessment
• Data Analysis - Software
• Data Architecture
• Data Mining and Data Science
• Data Movement Tools
• Graphic Visualization
• Informatics/Information Sciences
• Programming Languages
• Statistics and Actuarial Modeling

Note: Additional skills / competencies may be added to this specific requisition. During the application process, you will be asked to provide your proficiency and experience with all the skills / competencies associated with the requisition.