Lead Advanced Analytics

AT&T • Dallas, TX

1d • Onsite

About The Position

Analytics, Reporting, Data Wrangling, creation of dashboard for web and omni channel activities. This role will focus specifically on Support activities reporting and analytics. Responsible for reporting KPI and operational detail. Working with partners to ensure data is available to be captured so it can be reported. Monitor and be able to attribute performance to changing conditions. Create and maintain in suite (Adobe Analytics, Tableau, PowerBI, Quantum Metric, ForeSee/Verint) reports. Overview : Data Engineer /Architect who has experience in pipelining, database management and advanced coding.

Requirements

• 5-7 years (or equivalent) experience in data engineering, analytics engineering, or backend development with significant data work.
• Advanced SQL and proficiency in at least one language (Python, Java, or Scala).
• Hands-on experience with orchestration and transformation tools (e.g., Datbricks, Snowflake, Airflow, dbt, Spark, or similar).
• Experience with cloud data ecosystems (AWS/GCP/Azure) and data storage/compute services (data lake/warehouse).
• Strong understanding of data modeling (dimensional modeling and/or other modern modeling approaches).
• Solid engineering practices: Git, code reviews, testing, CI/CD, and clear documentation.

Nice To Haves

• 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.
• Certification is required in some areas.

Responsibilities

• Understand key concepts of Marketing data and be ready to work in a fast environment
• Design, build, and maintain scalable batch and/or streaming data pipelines across multiple source systems (APIs, databases, Engineering Tools and event streams).
• Develop curated datasets and data models that support analytics, reporting, and operational use cases.
• Apply data architecture best practices (ingestion patterns, schema evolution, data contracts, lake/warehouse organization).
• Implement data quality checks, observability/monitoring, lineage, and SLAs; troubleshoot pipeline issues end-to-end.
• Optimize data performance and cost (partitioning, clustering, file formats, query tuning, compute sizing)
• Collaborate with platform/security teams to implement access controls and safe handling of sensitive data
• Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.
• Work closely with stakeholders to translate requirements into scalable, maintainable data solutions.

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

What This Job Offers

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