Lead Advanced Analytics
AT&TAbout the role
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.
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.
What you'll do:
Gather, analyze, and interpret diverse data sets to solve a variety of health plan and employee benefits problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
Well-versed with Snowflake and Databricks environments and other healthcare data warehouses and data infrastructure. Data sources including but 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 uses 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 verifies 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 with regard to patterns and relationships in data to recommend business direction or outcomes.
What you’ll need
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 the healthcare, employee benefits, and/or health insurance spaces.
Certification is required in some areas.
What you’ll bring
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.
Supervisor: No
Our Lead Advanced Analytics, earns between $130,700 - $196,100. Not to mention all the other amazing rewards that working at AT&T offers. In0dividual 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
If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
Weekly Hours:
40Time Type:
RegularLocation:
Dallas, TexasSalary Range:
$130,700.00 - $196,100.00It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disabil
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