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Senior- Advanced Analytics, Data Engineering & BI


Atlanta, GA
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Job Details

Company AT&T

Job Title Senior- Advanced Analytics, Data Engineering & BI

Jobid att4-7164511

Location: Atlanta, GA, 30309, USA

Description The convergence traditional Marketing techniques and advanced analytics is creating a unique opportunity within AT&T Mobility Network Analysis and Performance team (MNAP). In this role, you will be responsible for developing strategies and solutions for analyzing and visualizing data related to subscriber usage activity, and the impact of new marketing initiatives, technologies, and applications on that activity. You will be a key member of a team that analyzes and forecasts data usage on AT&T's mobile network and predicts the impact of potential strategic initiatives and services.

Working closely with data scientists, product managers, network engineers, and senior leadership, you will apply visual/advanced analytics to assemble data sets from diverse sources, test hypotheses, discover actionable insights, predict outcomes, and disseminate findings through online dashboards/portals and presentation material. In the process, you will work with the latest data visualization techniques and technologies, evaluate new technologies, and innovate new approaches.

This is an important role within the MNAP team: major marketing programs will be refined based insights generated from this activity, and insights and forecasts shared with the Network organization will influence AT&T's multibillion dollar capital budget.

**The successful candidate will:**

+ Have overall ownership of data architecture and data engineering activities: ETL, database design, job scheduling, etc.

+ Develop static and interactive advanced data visualizations, reports, and presentations

+ Design, develop, and implement web-based interactive tools, self-service dashboards, and business intelligence portals

+ Explore, evaluate, and deliver new technologies, techniques, and tools to improve the team's ability to transform data into actionable insights


+ Prefer an advanced degree in Computer Science, or closely-related discipline with additional training and/or experience (e.g. Udacity's Data Analyst Nanodegree)

**The background of the successful candidate includes:**

+ Data Engineering

+ Experience in information architecture, data warehousing, analytical databases (Aster, Vertica, etc.), advanced SQL and ETL, creation of analytic datasets.

+ Ability to strategically design and build large and complex data sets from various sources while accounting for issues of scalability and maintainability.

+ Advanced Analytics

+ 5+ years of experience in advanced data and visual analytics or related field (software development, software engineering, data warehousing, Big Data analytics)

+ Experience developing dashboards, reports, and visualizations using common platforms (Tableau, Microstrategy, PowerBI, etc.) and lower level programming (ggplot2, Bokeh, D3.js, Shiny)

+ Ability to use statistical and Big Data driven analysis to draw fact-based conclusions and recommendations


+ Advance programming skills and ability to utilize a variety of data/analytic software languages/tools (Spark, R, Python, Scala, Hive, SQL, SAS, Tableau, Aster, etc.)

+ Strong executive level presentation development skills (PowerPoint, Adobe Illustrator).

+ Intense curiosity and passion in the theory, practice, and even aesthetics of cutting-edge data visualization (visual encoding, design principles, effective communication, interactive visualization)

+ Obsessed with ensuring a high degree of polish in finished work; attention to detail.

**This experience would be a GREAT benefit:**

+ Big data technologies, NoSQL databases, OO programming, web app frameworks, open source technologies, source code control systems, test driven development, Linux environment/scripting, etc.

+ Graphic design, information design, SharePoint, full stack web development (Django, Rails, JavaScript, HTML5, CSS3), etc.

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

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