Join AT&T and reimagine the communications and technologies that connect the world. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
Overall Purpose:
This career step requires intermediate level experience. This position analyzes data from multiple sources including datalakes, internal/external data, data warehouses, etc. Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed to explain or predict behavior, solve a variety of business problems, and build business cases.
Key Roles and Responsibilities:
Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Snowflake, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration.
Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions.
Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world.
Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly- developing within the Big Data space.
Uses traditional modeling techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings.
Advises business partners with regard to patterns and relationships in data to recommend business direction or outcomes.
Subject matter technical knowledge within a discipline and sound understanding of ATT technologies.
401(k) plan
Education:
Preferred master's degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
Experience:
Typically requires 3-5 years' experience. Supervisory: No.
This position requires AT&T office presence of 5 days per week.
Our Sr. Advanced Analytics role typically earns $118,800.00 -$178,200.00 Dallas, TX, and $106,100.00 - $159,100.00 Atlanta, GA annually. 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
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.
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 is leading the way to the future – for customers, businesses and industry. We're developing new technologies to make it easier for our customers to stay connected to their world. Together, we’ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined.
Ready to #transformdigital with us? Apply now!
#LI-Onsite
Weekly Hours:
40
Time Type:
Regular
Location:
Dallas, Texas
Salary Range:
$106,100.00 - $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.
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