Principal-Data Analysis
AT&T - Dallas, TX

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Principal-Data Analysis - 1336936

Overall Purpose: This position leads Product Realization support through programs and initiatives for organizational data standards and integrity, quality management, process design, method and procedures. Develops and administers the Product Realization organization data analytics improvement policies and programs with a focus on cycle and launch time. 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. Works directly with the client user community and business analysts to define and document data requirements for data Integration, dashboards 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: Expert level technical professional. Technical Subject Matter Expert (SME) within organization. Contributes through own development of advanced technologies/concepts with global reach or industry application. Has direct impact on creation of technical products/services. Serves as a role model and mentor.

KNOWLEDGE Has extensive specialized technical expertise. Applies expert knowledge and broad understanding of multiple disciplines. Integrates expert knowledge of technical principles/methods of multiple disciplines with knowledge

of products/services and internal operations. Proficient in Microsoft Office Products. Advisor on ATT technologies/systems/ procedures.

ANALYSIS/PROBLEM SOLVING Solves complex, critical problems related to significant and unique issues. Uses extensive research and interpretative thinking. Utilizes innovative methods in developing solutions. Works on abstract problems requiring evaluation of intangible variables.

INDEPENDENCE Guided by functional goals/objectives. May influence organization goals/objectives. Applies discretion to develop innovative solutions to problems without precedent.

CONTRIBUTION TO ATT TECHNOLOGY Lead contributor on critical projects/technology initiatives. Develops enterprise wide integrated solutions. Contributes to complex and innovative business solutions to achieve strategic objectives.

COMMUNICATION Provides technical expertise to peers across the company. Actively promotes good working relationships. Develops mutually beneficial strategic alliances with customers. Education: Bachelors of Science in Information Systems Technology, Computer Science or Engineering preferred. Experience: Typically requires 10+ years experience. Technical Career Pathway (TCP) role. Entry into this title may require TCP Governance Board Review. Supervisory: No. Q



Education: Bachelors of Science in Information Systems Technology, Computer Science or Engineering preferred. Experience: Typically requires 10+ years experience.

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