Lead Advanced Analytics

AT&T•Dallas, TX

1d•$143,800 - $215,800•Onsite

About The Position

This position requires office presence of a minimum of 5 days per week and is located in downtown Dallas at AT&T HQ. Relocation is not offered for this position. At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections. Strategically analyze healthcare and other employee benefits and human resources data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing health plan 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.
5+ years of related experience, specifically in healthcare, employee benefits, and/or health insurance spaces.
Certification is required in some areas.

Nice To Haves

Deep domain expertise in healthcare data, including claims, eligibility, provider, and/or clinical datasets, with the ability to translate data into actionable insights for plan design, operations, and cost management.
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.

Responsibilities

Gather, analyze, and interpret diverse data sets to solve a variety of health plan and employee benefits problems, predict behaviors, identify causal relationships, trigger points, and predictions.
Well-versed with Snowflake and Databricks environments and other healthcare data warehouses and data infrastructure.
Data sources include but are not limited to internal sources, healthcare claims data, program engagement data, and other health plan and employee benefits resources.
Apply a range of advanced statistical methods to quantify data variances and use traditional modeling techniques to support decision-making.
Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks, Snowflake) 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 verify their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Develop visualizations such as dashboards, reports and charts, and advise strategic and operational partners on data patterns and relationships to recommend strategic directions.
Advise the health plan team and other leadership stakeholders about 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