7 дней назад
Lead Data Analysis (AI)
116 700 - 196 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Analysis (AI): Building enterprise-scale data integration, governance, business intelligence, and advanced analytics solutions with an accent on SQL, Python, cloud data platforms, and AI-assisted insights. Focus on designing ETL/ELT pipelines, resolving complex data-quality challenges, and leading modernization initiatives across multiple data domains.
Location: Onsite in Dallas, Texas or Alpharetta, Georgia, United States, five days per week. No relocation is offered.
Salary: $116,700–$196,100 USD annually.
Company
AT&T is a large telecommunications corporation offering enterprise data and analytics solutions.
What you will do
- Collect, integrate, preprocess, cleanse, and analyze data from multiple enterprise sources.
- Build dashboards, visualizations, reports, and business intelligence solutions using Power BI, Tableau, or comparable tools.
- Design, develop, and support scalable ETL/ELT pipelines, data architectures, and enterprise reporting systems.
- Apply statistical, predictive, machine-learning, and AI-assisted methods to solve complex business problems.
- Support data governance, metadata management, data lineage, data quality controls, and discrepancy resolution.
- Lead complex analytics initiatives, advise on platform decisions, mentor team members, and collaborate with business stakeholders and senior leaders.
Requirements
- 5+ years of experience in data analysis, business intelligence, data engineering, or a related analytics role.
- Experience leading complex analytical initiatives and communicating findings to technical and nontechnical stakeholders.
- Advanced SQL and strong Python skills, including experience with data-analysis libraries.
- Experience with data visualization, data modeling, data architecture, and ETL/ELT pipelines.
- Knowledge of cloud data platforms such as Databricks, Snowflake, Microsoft Azure, AWS, or Google Cloud.
- Experience with data governance, data quality, machine learning, generative AI, Agile delivery, and DevOps or DataOps practices.
Nice to have
- Bachelor’s degree in computer science, information systems, data analytics, mathematics, statistics, engineering, or a related field.
- Relevant certifications in analytics, cloud technologies, Databricks, Snowflake, AI, or related disciplines.
Culture & Benefits
- Regular full-time schedule of 40 hours per week in an onsite office role.
- Medical, dental, and vision coverage, plus short- and long-term disability benefits.
- 401(k) plan, tuition reimbursement, paid time off, holidays, and paid parental and caregiver leave.
- Adoption reimbursement, life insurance, employee assistance, and wellness programs.
- Employee discounts on eligible AT&T mobility plans, accessories, internet, fiber, and phone services.
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