As a Principal-Data Analysis career step requires expert 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 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.
- Job Contribution: Expert level technical professional. Advisor on technical knowledge and ATT technologies.
Qualifications:
Education: Preferred bachelor’s degree in business, Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.
Experience: requires 8-10 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
Our Principal-Data Analysis, earn between $105,000 – $175,100, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits.
- Medical/Dental/Vision coverage • 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected • Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
- AT&T internet (and fiber where available) and AT&T phone.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state, and local laws
Ready to close the deal on a career with AT&T?
Apply today.