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AT&T Professional-Data Analysis in Trenton, New Jersey

Overall Purpose: This career step requires intermediate 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. 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.

Summary of Work: Perform eDiscovery. Identification, access, collection, culling, storing and shipping of ESI relevant and responsive to litigation, or other governmental agency request. Work directly with legal client to refine request requirements and produce agreed upon work product.

Required Skills: Familiarity with technical platforms, (e.g Office 365) and other technical issues.

Desired Skills: Experience with eDiscovery Tools, (Encase, Cellebrite, O365 Compliance Center, etc)

Job Contribution: Intermediate level technical professional. Subject matter technical knowledge within a discipline and sound understanding of ATT technologies.

Education: Preferred Bachelors degree in Business, Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.

Experience: Typically requires 3-5 years experience. Technical Career Pathway (TCP) role.

Supervisory: No.

Principal Functional Skills / Competencies associated with this Title:

  • Data Governance

  • Data Mining

  • Data Movement Tools

  • Data Warehousing

  • Emerging Technologies

  • ETL Process

  • Information Management

  • Modeling: Data, Process, Events, Objects

  • Query and Database Access Tools

  • Relational Databases

  • Scripting Tools and Languages

  • System and Technology Integration

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status.

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