ATT careers remote
<div id="viewJobSSRRoot"> <div class="fastviewjob" role="main"> <div class="css-1quav7f eu4oa1w0"> <div class="css-a8ixh3 eu4oa1w0"> <div class="css-52a5z7 eu4oa1w0"> <div class="jobsearch-JobComponent css-u4y1in eu4oa1w0 jobsearch-JobComponent-bottomDivider"> <div class=" css-1omm75o eu4oa1w0" tabindex="-1"> <div class="jobsearch-BodyContainer"> <div class="jobsearch-JobComponent-description css-kyg8or eu4oa1w0" tabindex="0"> <div id="jobDescriptionText" class="jobsearch-jobDescriptionText jobsearch-JobComponent-description"> <div> 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. REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Analytics or Computer Science, and 2 years of experience in the job offered, or 2 years of experience in a related occupation utilizing 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; working 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; designing, maintaining, and updating the interactive online dashboards; utilizing programming language R/Python with add-on packages, including pandas, NumPy, Matplotlib, and scikit-learn; working on automate data extract, transform, and load process; conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; providing insight on data and research activities including team productivity, sales performance, and economic impact; assessing the effectiveness and accuracy of new data sources and data gathering techniques; and working on query platform on Microsoft SQL server. Position requires Statistical Business Analysis and Advanced Programming certificates. Our Senior-Advanced Analytics earn between $135,000 - $210,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers. <div> Joining our team comes with amazing perks and benefits: <ul> <li>Medical/Dental/Vision coverage</li> <li>401(k) plan</li> <li>Tuition reimbursement program</li> <li>Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li> <li>Paid Parental Leave</li> <li>Paid Caregiver Leave</li> <li>Additional sick leave beyond what state and local law require may be available but is unprotected</li> <li>Adoption Reimbursement</li> <li>Disability Benefits (short term and long term)</li> <li>Life and Accidental Death Insurance</li> <li>Supplemental benefit programs: critical illness/accident hospital indemnity/group legal</li> <li>Employee Assistance Programs (EAP)</li> <li>Extensive employee wellness programs</li> <li>Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone</li> </ul> </div> AT&T is an Affirmative Action/Equal Opportunity Employer, and we are committed to hiring a diverse and talented workforce. EOE/AA/M/F/D/V *np* </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="gnav-footer-container" class="gnav gnav-reset"> <div class="main" data-gnav-region="MainFooter" data-reactroot=""><footer class="icl-GlobalFooter" role="contentinfo"> <div class="icl-GlobalFooter-nav"></div> </footer></div> </div> Apply Job!