Lead Advanced Analytics

About the Role

Key Responsibilities

• Gather, analyze, and interpret diverse data sets to solve business problems, predict behaviors, and identify causal relationships, trigger points, and predictions, with familiarity in relational and data warehouse data storage systems.
• Design, execute, and analyze controlled experiments on targeted offers and strategies to generate actionable insights that inform business decisions, ensuring methodological soundness and statistical validity.
• Apply advanced statistical methods to quantify data variances and support decision-making, utilizing tools such as Tableau, Palantir, PowerBI, Databricks, AWS Azure, Synapse, and H2O Driverless AI.
• Develop business cases and create complex models using big data analytics tools for modeling, process integration, and recommending improvements to processes, financials, and business models.
• Build and test predictive models on various data samples, verifying their accuracy in real-world scenarios, including techniques like Linear/Logistic Regression and Time Series.
• Create visualizations such as dashboards, reports, and charts, and advise business partners on data patterns and relationships to recommend strategic directions.
• Leverage AI/ML tools and techniques to streamline analysis, automate repetitive tasks, enhance workflows, and generate new insights.

Requirements

• Bachelor's degree (BS/BA) in a Quantitative field such as Data Science, Math, Statistics, Engineering, or Physics; Master's degree preferred.
• 5+ years of related experience in advanced analytics or data science roles.
• Experience with relational databases (e.g., Oracle, MySQL) and data warehouse systems (e.g., Snowflake, Databricks).
• Proficiency in designing and analyzing experiments and applying statistical methods.
• Familiarity with analytics and visualization tools such as Tableau, PowerBI, and AI insights platforms.
• Knowledge of AI/ML tools and techniques for analysis and automation.
• Ability to develop complex models and make strategic recommendations based on data analysis.

Nice to Have

• Certification in relevant analytics or data science areas.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of big data tools like Databricks and data lake architectures.

Qualifications

• Bachelor's degree in a relevant quantitative field; Master's preferred.
• Minimum of 5 years of related experience.
• Relevant certifications in analytics or data science (required in some areas).

Benefits & Perks

• Medical, Dental, and Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days of vacation and 9 holidays annually)
• Paid Parental and Caregiver Leave
• Additional sick leave beyond legal requirements
• Adoption Reimbursement
• Disability Benefits (short and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs (critical illness, accident, hospital indemnity, legal)
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts on AT&T products and services