Lead Advanced Analytics
About The Position
AT&T is hiring a Lead Advanced Analytics professional to strategically analyze healthcare and other employee benefits and human resources data from diverse sources. The role uses advanced predictive modeling, statistics, and trend analysis to inform decisions and optimize health plan performance. It requires office presence at least five days per week at AT&T HQ in downtown Dallas; relocation is not offered. The position gathers, analyzes, and interprets data to solve health plan and employee benefits problems, predict behaviors, identify causal relationships and trigger points, and support decision-making. Data may include internal sources, healthcare claims, program engagement, and other health plan and employee benefits resources. The Lead Advanced Analytics professional develops business cases, complex models, predictive models, dashboards, reports, and charts, and advises strategic and operational partners and leadership on data patterns, business direction, and potential improvements. This experienced professional is recognized as an expert, leads significant projects with strategic autonomy, influences executive decisions, mentors less experienced staff, implements long-term plans, and frequently collaborates with senior leadership.
Requirements
- 5+ years of related experience, specifically in healthcare, employee benefits, and/or health insurance.
- Deep domain expertise in healthcare data, including claims, eligibility, provider, and/or clinical datasets, and the ability to translate data into actionable insights for plan design, operations, and cost management.
- Certification is required in some areas.
Nice To Haves
- Bachelor’s degree (BS/BA) desired from an accredited university in a quantitative field such as Data Science, Math, Statistics, Engineering, or Physics.
Responsibilities
- Gather, analyze, and interpret diverse data sets to solve health plan and employee benefits problems, predict behaviors, identify causal relationships and trigger points, and make predictions.
- Work with healthcare data sources and infrastructure, including internal sources, claims data, program engagement data, and other health plan and employee benefits resources.
- Apply advanced statistical methods to quantify data variances and use traditional modeling techniques to support decision-making.
- Develop business cases and complex models using big data analytics tools for modeling and process integration, and recommend improvements to processes, financials, and business models.
- Build and test predictive models on data samples and verify their accuracy in real-world scenarios.
- Develop dashboards, reports, charts, and other visualizations.
- Advise strategic and operational partners, the health plan team, and leadership stakeholders on data patterns and relationships, and recommend strategic directions or business outcomes.
- Lead significant projects with strategic autonomy and influence executive decisions.
- Mentor less experienced staff and implement long-term plans that impact the organization.
Benefits
- Medical, dental, and vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid time off and holidays: at least 23 vacation days each year and 9 company-designated holidays, based on date of hire
- Paid parental leave
- Paid caregiver leave
- Additional sick leave may be available beyond what state and local law require; it is unprotected
- Adoption reimbursement
- Short-term and long-term disability benefits
- Life and accidental death insurance
- Supplemental benefit programs, including critical illness, accident hospital indemnity, and group legal
- Employee Assistance Programs (EAP)
- Employee wellness programs
- Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet and fiber where available, and AT&T phone
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
