**Job Description:** **Overall, Purpose:** This career step requires senior 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. + 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:** Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies. 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 Our Lead Data Analysis earn a salary between $118,800 - $178,200. 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. **Education** : Preferred Bachelor's degree in Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience. **Experience:** Typically requires 5-8 years' experience. Supervisory: No. **Weekly Hours:** 40 **Time Type:** Regular **Location:** Dallas, Texas **Salary Range:** $118,800.00 - $178,200.00 It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws 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