Lead Advanced Analytics

AT&T•Alpharetta, GA

5d•$116,700 - $196,100•Onsite

About The Position

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Join AT&T and help shape the future of communications and technology that connect the world. We value innovators who seek to explore the unknown and challenge the status quo. Bring your bold ideas and fearless spirit to redefine connectivity and transform how people share stories and experiences. At AT&T, you won’t just imagine the future—you’ll build it. What you’ll do: • Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc. • Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc. • Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series). • Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes. What you’ll need: Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance. An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership. TCP Career Step Differentiator: Performs very complex advanced analytics work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.

Requirements

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.
5-7 years with the following:
SQL Proficiency: Ability to write complex queries, manipulate, and extract data from relational databases (e.g., SQL Server, Snowflake).
Programming Skills: Experience with Python for data analysis, automation, and working with APIs or data manipulation.
Data Integration/ETL Experience: Hands-on with designing, automating, and maintaining data pipelines using ETL tools or scripts.
Cloud Platform Familiarity: Working knowledge of at least one cloud environment (Azure, AWS, or Google Cloud), including data storage and processing.
Data Quality & Governance, and Automation.
An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge.
Leads significant projects with strategic autonomy, influencing executive decisions.
Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.
TCP Career Step Differentiator: Performs very complex advanced analytics work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.
Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
5+ years of related experience.
Certification is required in some areas.

Responsibilities

Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

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.