Lead Advanced Analytics

AT&T

Lead Advanced Analytics role at AT&T analyzing various data sources for predictive modeling and visualization. Responsible for maintaining dashboards and interpreting data insights for business improvements.

Posted 7/2/2026full-timeAtlanta • 🇺🇸 United StatesSenior💰 $153,000 - $192,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analysis and predictive modeling using machine learning techniques, with proficiency in SQL, Python, and data visualization tools. Strong background in statistical methods and experience with big data analytics in cloud environments.

Highest-signal resume keywords

Predictive ModelingMachine Learning TechniquesData VisualizationStatistical AnalysisBig Data Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonMachine LearningStatistical MethodsData AnalysisPredictive AnalyticsHypothesis TestingData CurationData ModelingData Visualization

Tools & Technologies

DatabricksTableauPower BIAlteryxSASExcelSPSSNumPyPandasSciKitLearn

Certifications & Qualifications

Master’s Degree in Data ScienceMaster’s Degree in Business AnalyticsMaster’s Degree in MathMaster’s Degree in StatisticsMaster’s Degree in EngineeringMaster’s Degree in Physics

Industry Keywords

Big DataData ScienceBusiness AnalyticsStatistical ModelingData GovernanceData IntegrationGeographical VariationUnstructured DataData SourcesExperimental Design

Tech Stack

Tools & technologies

AWSAzureCloudMySQLNumpyOraclePandasPythonSQLSQLiteTableauVBA

About the role

Key responsibilities & impact

Interact with data across various sources including relational databases in SQL Server, Alteryx, and cloud-based distributed databases using Databricks and Snowflake, AWS and Azure, as well as various unstructured data
Use sandbox environments to create curated datasets from these sources
Analyze large and small datasets using hypothesis testing (ANOVA, T-test, linear and logistic regression, etc.) and demonstrating knowledge of good experimental design
Use machine learning and predictive analytics methods including classification and regression models such as multivariate regression, decision trees and random forests, GLM, SVM, kNN, and neural networks, and ensemble methods
Utilize unsupervised learning techniques such as k-means clustering to identify natural segmentation in datasets
Frequently use data access and analysis tools such as SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel
Be familiar with analysis packages such as NumPy, Pandas, SciKitLearn, Matplotlib, and SQLite
Design, maintain, and update interactive online dashboards and demonstrate best practices in data visualization and communication
Understand how to recognize and utilize geographical variation in business performance data
Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Requirements

What you’ll need

Requires a Master’s degree, or foreign equivalent degree in Data Science, Business Analytics, Math, Statistics, Engineering or Physics
3 Years of experience in the job offered or 3 Years of experience in a related occupation building and refining predictive models using traditional statistical methods and modern machine learning techniques
Developing big data analytics models using tools including Databricks, Tableau, Palantir, Power BI, and business process integration
Quantifying data variances and applying statistical methods within the big data space
Leveraging programming languages including Python for model development and SQL for database interactions
Performing modeling within the Databricks environment
Engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle
Crafting comprehensive reports, charts, and visual aids to summarize findings and insights
Utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling.

Benefits

Comp & perks

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