Lead Advanced Analytics

AT&T • Dallas, TX

3d • Onsite

About The Position

The Lead Advanced Analytics professional strategically analyzes healthcare and other employee benefits and human resources data from diverse sources using advanced predictive modeling, statistics, and trend analysis to inform decisions and optimize health plan performance. The role works with internal data, healthcare claims, program engagement, and other health plan and employee benefits resources, using healthcare data warehouses and infrastructure including Snowflake and Databricks.

The position develops business cases and complex models, builds and validates predictive models, and creates dashboards, reports, and charts. It advises health plan teams, operational and strategic partners, and leadership stakeholders on data patterns and relationships, recommending business directions, process improvements, and financial or business model changes. The role leads significant projects with strategic autonomy, influences executive decisions, mentors less experienced staff, and implements long-term plans that impact the organization.

The position is based at AT&T headquarters in downtown Dallas and requires office presence at least five days per week. Relocation is not offered.

Requirements

• At least 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.
• Expert knowledge and broad, in-depth experience resolving complex issues.
• Certification is required in some areas.

Nice To Haves

• Bachelor’s degree (BS/BA) from an accredited university in a quantitative field such as Data Science, Math, Statistics, Engineering, or Physics is desired.
• Experience with Snowflake, Databricks, other healthcare data warehouses and data infrastructure, Tableau, and Power BI AI Insights.

Responsibilities

• Gather, analyze, and interpret diverse data sets to address health plan and employee benefits problems, predict behaviors, and identify causal relationships, trigger points, and trends.
• Use advanced statistical methods to quantify data variances and 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, including linear and logistic regression and time-series models.
• Develop dashboards, reports, charts, and other visualizations.
• Advise strategic and operational partners, health plan teams, 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.
• Collaborate frequently with senior leadership.

Benefits

• Medical, dental, and vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid time off and holidays, including 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 beyond what state and local law require may be available but is unprotected
• Adoption reimbursement
• Short- 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 up to 50% on eligible AT&T mobility plans and accessories, AT&T internet and fiber where available, and AT&T phone

What This Job Offers

• Job Type: Full-time
• Career Level: Senior