Lead Data Analysis
Company | AT&T |
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Location | Dallas, TX, USA, Atlanta, GA, USA |
Salary | $116700 – $196100 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Preferred Bachelors degree in Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.
- Typically requires 5-8 years of experience.
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.
Preferred Qualifications
- Data Analytics nanodegree; or equivalent experience.