Lead Advanced Analytics

Job Description:

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

The Feature Analytics team is growing! This Lead Advanced Analytics role will focus on supporting Wireless and Broadband features such as Security, Extenders, Personal Cloud, All-Fi Pro, Internet Backup and many others. The role will interface with partners across Product, Finance, Marketing and Commercialization delivering actionable insights to drive feature growth. The ideal candidate is a self-starter that is comfortable with white space, an end to end analyst with experience spanning data engineering to visualization, and a great data storyteller able to convey complex topics to a broad audience. The candidate should have significant experience with SQL/PySpark, Snowflake & Databricks, and visualization tools such as PowerBI or Tableau. Finance/Pricing experience is a plus!

Overall purpose: This career step requires senior level experience. This position analyzes data from multiple sources including datalakes, internal/external data, data warehouses, etc. Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed to explain or predict behavior, solve a variety of business problems, and build business cases.

Key Roles and Responsibilities: Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration. Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions. Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly-developing within the Big Data space. Uses traditional modeling techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings. Advises business partners with regard to patterns and relationships in data to recommend business direction or outcomes. Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on 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: requires 5-8 year's experience.

Our Lead Advanced Analytics earn between $130,700 - $196,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. 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
• 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.

Candidates with arrest or convictions records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Relevant Material Job Duties for which Criminal History may have a direct adverse, and negative relationship potentially resulting in the withdrawal of the Conditional Offer of Employment  

Contact with Customers/Candidates/Clients Safety Sensitivity (Vehicle/Tool/Machine Operation - if applicable) Handling/Proximity to Sensitive Information  

A career with us, a glo