This career step requires expert level experience. This position will analyze large data sets, identify key correlating factors, explain trends, and predict future outcomes of key business drivers. In this role you will perform analyses on customer attributes and behaviors, retail store performance, pricing effects, sales forecasting, and other key financial metrics as required, and utilize key business analytics competencies including defining an analytical problem from qualitative business requirements, identifying and wrangling appropriate data from various distributed sources, building and optimizing queries to construct analytical datasets, exploring practical limitations of data, and mining for insights.
Key Roles and Responsibilities:
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; and 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; perform time-series analysis and forecasting; 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; use data access and analysis tools such as SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel, and 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.
Deploy automated analyses and/or predictive models and have a deep understanding of process automation.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Job Contribution:
Expert level technical professional.
Advisor on technical knowledge and ATT technologies.
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 8-10 years' experience.
Supervisory: No.
Our Principal Advanced Analytics earn between $128,400 - $192,600 of TSR. 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
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.
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
A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you'll lead transformation surrounded by trailblazing industry leaders like you. You'll be empowered to go above and beyond - making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups. And regardless of where you're at in your career trajectory, you'll be rewarded by the impact that comes with making a difference in the lives of millions. With AT&T, you'll be a part of something greater, do incredible things and be rewarded with a chance to change the world.
Ready to join the team? Apply today!
#LI-Onsite
Weekly Hours: 40
Time Type: Regular
Location: Atlanta, Georgia
Salary Range: $128,400.00 - $192,600.00
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.