Senior-Data Analysis
USA:TX:Dallas / One AT&T Plaza (208 S Akard - Whitacre Tower) - Adm:208 S Akard St, United States
AT&T
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POSITION: Senior-Data Analysis
JOB LOCATION: 208 S. Akard St. Dallas, TX 75202 [and various unanticipated locations throughout the U.S.; may work from home]
Senior-Data Analysis needed by AT&T Services, Inc. in Dallas, TX [and various unanticipated locations throughout the U.S.; may work from home] to work on multiple projects concurrently within an informal and matrixed organization by managing own priorities and schedule. Create and present detail designs to meet user requirements. Create data models including robust data definitions, which may be entity-relationship-attribute models, star-schema, or dimensional models. Bring creativity to technical problem solving. Work on cloud, linux security, vulnerability management and dev ops tools. Create SQL programs to extract, transform, and load data from and to various targets such as Palantir, Flat Files, Teradata, Oracle, Databricks, SNOWFLAKE, and Vertica using Python, Pyspark, and Databricks Tools. Work with complex customer data. Work with quality control and auditing of databases by resolving data problems and analyzing system changes for quality assurance. Create data structures for analytics, modeling, and reporting. Utilize Data Warehouse applications. Work in Palantir, Tableau, PowerBI and any visualization tool. Apply experience with big data and cloud platforms such as AWS and Azure. Apply knowledge in database marketing support. Apply knowledge with telco, Uverse, and wireless data.
MINIMUM REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Software Engineering, Information Systems, Math, or Sciences and 3 years of experience in the job offered or 3 years of experience in a related occupation creating SQL programs to extract, transform, and load data from and to various targets such as Palantir, Flat Files, Teradata, Oracle, Databricks, SNOWFLAKE, Vertica using Python, Pyspark, and Databricks Tools; working with complex customer data; working with quality control and auditing of databases by resolving data problems and analyzing system changes for quality assurance; creating data structures for analytics, modeling, and reporting; utilizing Data Warehouse applications; working in Palantir, Tableau, PowerBI and any visualization tool; applying experience with big data and cloud platforms such as AWS and Azure; applying knowledge in database marketing support; and applying knowledge with telco, Uverse, and wireless data.
Our Senior-Data Analysis earn between $143,666 - $190,900 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
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
Weekly Hours:
40Time Type:
RegularLocation:
Dallas, TexasIt 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.
Tags: AWS Azure Big Data Data analysis Databricks Data warehouse Engineering Linux Mathematics Oracle Power BI PySpark Python Security Snowflake SQL Tableau Teradata
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Wellness
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