Lead Advanced Analytics
About The Position
The Lead Advanced Analytics professional strategically analyzes data from diverse sources using advanced predictive modeling, statistics, and trend analysis to support informed decision-making and optimize business performance. This experienced professional performs very complex advanced analytics work, builds complex business models, and makes recommendations that can affect multiple organizations and lines of business. The role leads significant projects with strategic autonomy, influences executive decisions, implements long-term plans with organizational impact, mentors less experienced staff, and frequently collaborates with senior leadership. The role has no supervisory responsibility. The position is full-time and onsite at a designated work location five days per week, with locations in Atlanta, Georgia, or Dallas, Texas. No relocation is offered. The salary range is $128,400–$215,800 annually; individual starting salary may depend on geography, experience, expertise, and education or training.
Requirements
- At least 5 years of related experience.
- Bachelor’s degree in a quantitative field of study, such as Data Science, Mathematics, Statistics, Engineering, or Physics, is desired.
- Certification is required in some areas.
- Expertise in advanced analytics, predictive modeling, statistics, trend analysis, and traditional modeling techniques.
- Experience with relational or data warehouse storage, such as Oracle, MySQL, Snowflake, or Databricks Delta Lake.
- Ability to work with data from internal and external sources, data lakes, and data warehouses such as eCDW and BIDW.
- Experience with analytics and modeling tools such as Tableau, Palantir, Power BI AI Insights, Databricks, AWS, Azure, Synapse, or H2O Driverless AI.
Responsibilities
- Gather, analyze, and interpret diverse internal and external data sets to solve business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
- 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 to support modeling and process integration.
- Make recommendations to improve 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 business partners on data patterns and relationships and recommend strategic directions, business decisions, or outcomes.
- Lead significant projects, influence executive decisions, implement long-term plans, and mentor less experienced staff.
Benefits
- Medical, dental, and vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid time off and holidays, including at least 23 vacation days per 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; this leave is unprotected
- Adoption reimbursement
- Short- and long-term disability benefits
- Life and accidental death insurance
- Supplemental benefits, including critical illness, accident, hospital indemnity, and group legal programs
- 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
