Senior-Data Analysis

At&T Dallas , TX 75201

Posted 4 months ago


  • Data Analysis


Overall Purpose

Senior level resource responsible for analyzing Digital 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 Digital data integration and business intelligence applications serving and related web properties. Author data specifications and 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.



  • Expected Proficiency Level
  • Data Governance-2
  • Data Mining-4
  • Data Movement Tools-3
  • Emerging Technologies-4
  • Ignite innovation and change(Non-supv)-2
  • Information Management-3
  • Make data-driven decisions-2
  • Modeling: Data, Process, Events, Objects-3
  • Query and Database Access Tools-3
  • Relational Databases-3
  • Scripting Tools and Languages-3
  • System and Technology Integration-3

Job Contribution

Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.


  • Preferred Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.


  • Typically requires 5-8 years' experience. Technical Career Pathway (TCP) role.

Desired SkillsTechnical Skills:

Knowledge of Front-end and backend engineering using Object-Oriented JavaScript, Java, various JavaScript libraries and familiarity with micro frameworks (jQuery, Angular, etc.), HTML5 and CSS, Data Manager, DTM, Adobe Site Catalyst, Business Objects, Tableau, Nexus Query Tool, HTTP Analyzer, MS Office. Skilled in working with SQL data bases, Vertica, Oracle, SQL Server, Good understanding of AGILE/SAFE delivery methodology.

Functional Skills:

Knowledge of AT&T Web Applications, Data Tracking, Reporting, Product Management, Strong delivery mindset, background on data collected from Omni Channel experiences. Understands clickstream data and how it corelates to

Supervisory: No.

Job ID 1919674-1 Date posted 06/17/2019

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Senior-Data Analysis