Senior Advanced Analytics

AT&T•El Segundo, CA

16h•Onsite

About The Position

Are you ready to be a driving force behind AT&T's most visible product offerings? Join us in supporting AT&T Wireless subscriber forecasting, where your technical expertise and strategic mindset will propel our growth and commitments forward. We seek a highly technical, data-savvy professional who thrives on transforming repetitive tasks through innovative technology and sees their work's impact in real-time business advancements. As part of our team, you'll be curious about the competitive landscape and new technologies, adapt swiftly to evolving business needs, and confidently present your analyses. We're looking for a dedicated individual who embodies servant leadership, leading with humility and empowering their team to achieve high accountability. AT&T WIRELESS IS THE PLACE TO BE. DO YOU WANT IN? This role is pivotal in developing and presenting forecasts and key insights to our leaders, enabling impactful business decisions. As a leader, you will be instrumental in achieving our business goals, working in a fast-paced environment with executives, and driving strategic initiatives. You should be organized, strategic, detail-oriented and feel comfortable working with executives in a fast-paced environment. Core Qualities – Senior Advanced Analytics Enterprise Ownership & Judgment Owns high‑impact, ambiguous analytical problems end‑to‑end, applying strong business judgment to define scope, approach, and success metrics with minimal direction. Executive‑Ready Insight & Storytelling Translates complex analytics into clear, concise, executive‑level narratives that directly inform decisions on pricing, retention, customer behavior, and performance. Strategic & Forward‑Looking Mindset Thinks beyond immediate requests to shape longer‑term strategy, decision frameworks, and operating cadence; proactively identifies risks and insight gaps before they surface. Scalable, Operational Analytics Designs repeatable, automated, production‑ready analytics (dashboards, KPIs, churn bridges) that enable ongoing performance management—not one‑off analyses. Influence Without Authority Leads through credibility and expertise, partnering effectively across functions and mentoring others to raise analytical rigor and business impact across the organization. Overall Purpose: Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Requirements

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.
3+ years of related analytics experience.
Certification is required in some areas.

Nice To Haves

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.
Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Ex- Linear/Logistic Regression, Time Series.

Responsibilities

Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making.
Develop business cases and create complex models utilizing big data analytics tools 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.
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.