AT&T Mobility Services, LLC is seeking a Senior-Advanced Analytics in Dallas, TX [and various unanticipated locations throughout the U.S.; may work from home] to Analyze large data sets, identify causal relationships, explain trends, and predict future outcomes of key business drivers. Project site selection, optimization and rationalization including churn analysis, customer behavior, segmentation, as well as sales analysis including forecasting, pricing business case development, and customer experience analysis. Work on business analytics including problem question identification, data sourcing wrangling, query development, data exploration, augmentation, data visualization, and distillation of results to actionable insights. Utilize leverage SQL server, Alteryx, and other tools to access, query, clean, and merge multiple large data sets including billing, usage, geospatial, demographic for regular, and ad hoc analyses. Utilize statistical techniques and machine learning algorithms including regression, cluster analysis, classification, random forest, sentiment analysis, A/B testing, optimization, factor analysis, time series analysis, dimension reduction, variable selection, and other analysis such as ANOVA, F-Test, T-test, Cross-Validation, and experiment design. Work on advanced data analytics, marketing analytics, statistics, business intelligence, pricing, and financial modeling within a wireless and telecommunications industry. Work with relational databases in ad hoc SQL query development. Work on data discovery and visualization skills using a combination of languages and tools including SQL, R, Python, SAS, MATLAB, pandas, NumPy, scikit-learn, PowerBI, Alteryx, and Tableau. Design, maintain, and update the interactive online dashboards. Create and deploy predictive models including geographic location-based and relevant tools for wrangling geospatial data including Alteryx and FME. Utilize programming language R/Python with add-on packages, including pandas, NumPy, Matplotlib, and scikit-learn. Work on automate data extract, transform, and load process. Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Provide insight on data and research activities including team productivity, sales performance, and economic impact. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Work on query platform on Microsoft SQL server. Position requires Statistical Business Analysis and Advanced Programming certificates.
