Lead Advanced Analytics - Wireless Offer Performance & Investment Efficiency

AT&T; El Segundo (CA); On-site; USD 128,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k) plan

Tuition reimbursement

Paid Time Off

Paid Parental Leave

Disability benefits

Employee discounts

Wellness programs

Job summary

AT&T is seeking a Lead Advanced Analytics professional to build a dedicated analytics capability focused on offer performance, profitability, and spend efficiency. You will analyze data from warehouses, data lakes, and platforms to identify where performance is changing and what actions should be taken.

You will develop predictive models, test-and-learn frameworks, and executive-ready dashboards, partnering with Finance, Marketing, and leadership to drive investment decisions and long-term

Qualifications

• Must demonstrate expertise in advanced analytics, statistics, and business modeling.
• Experience building test-and-learn frameworks and performance dashboards.
• Ability to translate complex analyses into actionable business recommendations.

Responsibilities

• Gather and analyze data from multiple sources to evaluate offer performance.
• Evaluate offer efficiency across the portfolio including profitability and spend.
• Develop insights to inform design, pricing, and promotional strategy.
• Partner with senior leadership to translate findings into actions.

Skills

Advanced analytics

Data analysis

Statistics

Predictive modeling

Business modeling

Insight generation

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

Overall Purpose:
This role exists to create a dedicated advanced analytics capability that helps the business understand individual offer performance, overall offer efficiency, customer quality, profitability, spend efficiency, and forecast accuracy. The role will analyze data from diverse internal and external sources using advanced analytics, statistical methods, trend analysis, and business modeling to explain what is driving growth, cost, investment performance, and customer outcomes. It will also independently identify where performance is changing, where efficiency is breaking down, and what actions should be taken, while partnering with other analytics teams to ensure measurement and reporting answer the right leadership questions and support offer strategy, forecasting, OEM negotiations, budget management, and long‑term profitability.

Key Responsibilities:

• Gather, validate, and analyze data from multiple internal and external sources, including enterprise data warehouses, data lakes, and analytics platforms, to evaluate individual offer performance and determine what is working, what is underperforming, why trends are occurring, and what actions should be considered.
• Evaluate overall offer efficiency across the broader offer portfolio, including spend, growth, cost drivers, profitability, investment levels, incremental value, and customer quality.
• Dig into drivers of volume, gross adds, upgrades, retention, ARPU, device mix, channel mix, rate plan mix, customer cohorts, offer structures, eligibility, and promotional performance.
• Develop insights and recommendations that inform offer design, gating, targeting, pricing, promotional strategy, budget allocation, and investment decisions.
• Apply statistical analysis, predictive modeling, trend analysis, scenario modeling, and business case development to support forecasting, budget planning, OEM negotiations, and investment decisions by quantifying expected and actual business impact across offer strategies.
• Build test‑and‑learn frameworks and recurring efficiency reviews to identify opportunities to improve performance, reduce inefficient spend, and redirect investment toward higher‑value growth.
• Partner with Offer Strategy, Finance, Marketing, Business Analytics, leadership, and other analytics teams to pressure‑test assumptions, align measurement, and translate findings into business actions.
• Maintain the executive reporting, dashboards, scorecards, and performance readouts needed to provide clear visibility into offer performance, spend efficiency, and investment effectiveness.

Job Contribution: An experienced professional recognized as an expert in advanced analytics, offer performance measurement, statistical analysis, business modeling, and insight generation. Creatively resolves complex analytical issues with broad and in‑depth knowledge of data sources, analytic methods, offer economics, customer behavior, and financial performance. Leads significant analytics workstreams with strategic autonomy, develops repeatable measurement frameworks, and influences decisions across Offer Strategy, Finance, Marketing, Business Analytics, OEM negotiation support, and leadership stakeholders. Frequently collaborates with senior leadership and business partners to translate complex analysis into recommended actions that improve spend efficiency, customer quality, ARPU sustainability, retention, and long‑term profitability.

Supervisor: No

TCP Career Step Differentiator: Performs very complex advanced analytics work, builds complex business models, applies statistical and predictive analysis, creates new ways to evaluate offer performance, and makes recommendations that impact multiple organizations and lines of business. Differentiates from standard reporting by proactively identifying performance drivers, customer quality indicators, profitability trends, and recommended business actions that influence offer design, gating, targeting, forecasting, budget allocation, and investment decisions. Requires an independent, curious analyst who can determine where to dig next, challenge assumptions, and surface opportunities without waiting for direction on every analysis.

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

Our Lead Advanced Analytics jobs earn between $128,400.00 - $215,800.00 USD Annual. 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
• 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

Weekly Hours: 40

Time Type: Regular

Location: Atlanta, Georgia, Dallas, Texas, El Segundo, California

Salary Range: $128,400.00 - $215,800.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.