Senior Data Analysis

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 redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.

Overall Purpose: This career step requires senior level experience. Responsible for analyzing data in response to new business requests, performing maintenance and changes on interfaces, and identifying and resolving data discrepancies across multiple business applications.

Key Roles and Responsibilities: Works directly with the client user community and business analysts to define and document data requirements for data integration and business intelligence applications. Determines and documents data mapping rules for movement of medium to high complexity data between applications. Adheres to and promotes the use of data administration standards. Supports data selection, extraction, and cleansing for corporate applications, including data warehouse and data marts. Creates and sustains processes, tools, and on-going support structures and processes. Extracts and analyzes data from specific applications, systems and/or databases to create reports and provide recommendations based on the analysis of the data. Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function. Creates and populates meta-data into repositories. May create data models, including robust data definitions, which may be entity- relationship-attribute models, star, or dimensional models. May also create data flow diagrams and process models and integrates models across functional areas and platforms. Works closely with DBAs to transition logical models to physical implementation. May be responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis. May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance. Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.

Team Scope: The Business Billing Technical Oversight Team operates within the scope of four functional areas which are - FBO Business Billing Technical Oversight, Biller Consolidation Data Analysis Support, ServiceNow Development and Data Analytics.

What we do: This team provides oversight and governance for the Accenture resources supporting the Business Billing applications We also assure security and compliance for the Business Billing Ecosystem. Additionally, we will provide Data Analysis and Development support across the greater Technology Team landscape

Required Skills/Experience:

• Data Governance
• Data Mining
• Data Movement
• Data Warehousing
• Query and Database Access Tools
• Relational Databases
• SQL

Desired Skills/Experience:

• Power BI
• Machine Learning
• Python
• Pandas
• Jupyter Notebook

Education: Preferred Bachelors of Science degree in Information Systems, Engineering, Math, or Science; Data Analytics nanodegree; or equivalent experience. 
Experience: Typically requires 3-5 years experience. Technical Career Pathway (TCP) role. Supervisory: No

Other locations will be considered.

Our Senior Data Analysts earn between $84,900 & $169,800. 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.