Senior-Data Analysis Jobs

• Works directly with the client user community and business analysts to define and document data requirements for data integration and business intelligence applications.
• Works closely with DBAs to transition logical models to physical implementation.
• May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance.
• Determines and documents data mapping rules for movement of medium to high complexity data between applications.
• May be responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis.
• Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function.
• May also create data flow diagrams and process models and integrates models across functional areas and platforms.
• 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.
• May create data models, including robust data definitions, which may be entity- relationship-attribute models, star, or dimensional models.
• Creates and populates meta-data into repositories.
• 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.

Our (WFH) Senior-Data Analysis, earn between $95,500.00 to $190,900.00, 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. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

• Data Movement Tools
• Data Governance
• Relational Databases
• Statistical Analysis and Measure
• Agile Methodology
• Scripting Tools and Languages
• Information Management
• Query and Database Access Tools
• System and Technology Integration
• Modeling: Data, Process, Events, Objects
• Data Mining
• Predictive Analytics