Senior Data Analysis

AT&T

Quick summary

Work type
On-site
Location
Dallas, TX
Salary
$118,800–$178,200 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $148k
$101k most similar roles pay here $225k

This role pays less than 62% of similar roles. Most pay $126,800–$198,800 — the shaded band above. At the midpoint, this role pays about $148k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 44 open roles on FindRole.

Listed pay typically runs $130,700–$211,900 across 41 roles with salary data.

Most-posted roles

View all roles at AT&T

At a glance

TL;DR · Senior Data Analysis

Seeking a Senior Data Analyst to join our dynamic team focused on maintaining enterprise data quality and operational reliability across multiple business applications. This role involves collecting, processing, cleansing, and validating data from various sources while applying established data rules and investigating discrepancies to ensure accuracy and consistency. Daily tasks include monitoring data quality results, supporting production processes, and collaborating with business, analytics, and technology teams to enhance trusted data foundations for reporting and decision-making. Ideal candidates possess experience in multi-source data environments, proficiency in SQL (Snowflake preferred), and familiarity with analytical tools like Python or AI technologies. Strong collaboration skills and a background in process improvements are essential as this role contributes significantly to continuous enterprise data reliability and performance.

What you'll do

  • Collect and process data from multiple sources to ensure accuracy and consistency.
  • Investigate and resolve discrepancies across systems to maintain reliable data foundations.
  • Monitor data quality results, escalate issues, and recommend improvements as needed.
  • Support production processes by validating data and resolving operational issues.
  • Use SQL and analytical tools to analyze data, validate outputs, and support issue resolution.
  • Contribute to process improvement initiatives aimed at reducing manual rework and enhancing reliability.

What we're looking for

  • Experience in multi-source data environments with focus on accuracy and consistency.
  • Knowledge of data quality, governance, hierarchy management, and customer matching.
  • Ability to investigate root causes and support corrective actions for data discrepancies.
  • Experience supporting production data processes including validation and issue resolution.
  • Proficiency in SQL (Snowflake preferred) and analytical tools like Python or AI tools.
  • Strong collaboration and communication skills across business and technical teams.
  • Experience contributing to automation or data quality improvement initiatives.

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