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7 дней назад

Lead Data Analysis (AI)

116 700 - 196 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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