Lead Advanced Analytics
$149.65k - $215.8kATT
JOB LOCATION: 208 S. Akard St., Dallas, TX 75202 [Hybrid] DUTIES: Responsible for data aggregation for business case development, big data analytics modeling using tools and business process integration. Gather, analyze, and interpret a wide variety of data to identify casual relationships, trigger points and ultimately make predictions. Integrate disparate data types and sources, cleans the data and then integrate the data into ready to use datasets. Build predictive models using data, tests the model on results outside of the sample size, and verify the model in the real world. Quantify significance of data variances, apply an array of statistical methods ranging from traditional to newly-developing. Develop reports, charts, tables, and other visual aids in support of findings. Build visualization of data and analyses for partner use. Advise business partner with regard to pattern and relationships in data to recommend business direction or outcomes. Requires senior level technical expertise. Deep technical knowledge and develop subject matter expertise on ATT technologies. REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree in Data Science, Computer Science, Computer Engineering, or Computer Information Technology and 2 years of experience in the job offered or 2 years of experience in a related occupation utilizing Tableau, Power BI, Databricks, and AWS Azure; managed large datasets, visualization and complex technical analysis; utilize expertise in advanced data analytics and programming tools, including PySpark, Spark SQL, Python, SQL, and DAX, to perform data modeling, forecasting, and transformation tasks, enabling the derivation of actionable business insights; and leveraging proficiency in analyzing and building data models with structured and unstructured datasets, ensuring high-quality data processing, integration and the development of scalable solutions to support decision-making processes. Our Lead Advanced Analytics roles earn between $149,652 - $215,800 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: 40 Time Type: Regular Location: Dallas, Texas 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 is a fair chance employer and does not initiate a background check until an offer is made. #J-18808-Ljbffr ATT
$128.4k - $215.8k
...of 5 days per week and is only located in the location(s) posted. No relocation is offered. Job Description Summary: Lead - Advanced Analytics (Broadband Acquisition) AT&T’s internet products (Fiber and AT&T Internet Air) are rapidly growing. Join a dynamic team...SuggestedFull timeTemporary workWork at officeLocal areaImmediate startRelocation- AT&T is seeking a Lead Advanced Analytics professional in Dallas to drive data aggregation, big data analytics modeling, and predictive analytics for business cases. Role emphasizes integrating diverse data sources, building predictive models, and delivering visual insights...Suggested
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