Lead Advanced Analytics

AT&T • Atlanta, GA

5d • Onsite

About The Position

The Lead Advanced Analytics role involves interacting with data from various sources, including relational databases (SQL Server), Alteryx, cloud-based distributed databases (Databricks, Snowflake, AWS, Azure), and unstructured data. The position requires using sandbox environments to create curated datasets. Responsibilities include analyzing large and small datasets using hypothesis testing (ANOVA, T-test, linear and logistic regression) and demonstrating knowledge of experimental design. The role also involves applying machine learning and predictive analytics methods such as classification and regression models (multivariate regression, decision trees, random forests, GLM, SVM, kNN, neural networks, ensemble methods), and unsupervised learning techniques (k-means clustering) for segmentation. Proficiency in data access and analysis tools like SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel is expected, along with familiarity with analysis packages such as NumPy, Pandas, SciKitLearn, Matplotlib, and SQLite. The role includes designing, maintaining, and updating interactive online dashboards, demonstrating best practices in data visualization and communication, understanding geographical variation in business performance data, and assessing the effectiveness and accuracy of new data sources and gathering techniques.

Requirements

• Requires a Master’s degree, or foreign equivalent degree in Data Science, Business Analytics, Math, Statistics, Engineering or Physics and 3 Years of experience in the job offered or 3Years 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 bigdata space.
• Leveraging programming languages including Python for model development and SQL for database interactions, and performing modeling within the Databricks environment.
• Ensuring models are robust, scalable, and applicable.
• 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.

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.
• 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, 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.
• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior