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Lead Data Analysis

AT&T

Dallas, TXFull-time$117–196K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$117–196K/yr
Location
Dallas, TX
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Lead Data Analysis role leads analytics for Billing & Payments experiences across digital and assisted channels. The position uses advanced analytics, visualization platforms, and AI-enabled tools to generate insights, identify root causes, and support executive decisions. It leads strategic analytical initiatives, partners with cross-functional teams, mentors analysts, and drives improvements in customer experience and business performance.

Skills & qualifications

RequiredNice to have

Skills

SQLPower BIAdobe AnalyticsAdobe Customer Journey AnalyticsSnowflakeDatabricksPythonStatistical ModelingPredictive AnalyticsGenerative AIAI-Enabled AnalyticsData VisualizationDashboard DevelopmentCustomer Journey AnalyticsLarge-Scale Data Environments

Qualifications

5+ Years Analytics ExperienceBachelor's in Computer Science or RelatedDigital Customer ExperienceCustomer Journey OptimizationOmnichannel AnalyticsExecutive Presentation ExperienceAI Tool ExperienceEnterprise Dataset ExperienceCloud Analytics Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Tuition Assistance
Paid Time Off
Parental Leave

Full job description

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

Overall Purpose

As a trusted analytics lead, you will transform complex datasets into compelling stories and actionable recommendations that influence strategy, customer experience, and business performance. You will leverage advanced analytics, visualization platforms, and AI-enabled tools to accelerate insight generation, root-cause analysis, anomaly detection, data validation, and executive decision-making.

This position combines deep analytical expertise, business acumen, and emerging AI capabilities to solve high-impact customer and operational challenges.

Key Roles and Responsibilities

Typical responsibilities include, but are not limited to:

Omnichannel Analytics & Performance Measurement

  • Own performance measurement and reporting for Billing & Payments experiences across digital and assisted channels.

  • Develop comprehensive measurement frameworks, KPIs, and scorecards to monitor customer engagement, operational efficiency, and business outcomes.

  • Analyze customer journeys to identify friction points, drop-offs, opportunities, and emerging trends.

Advanced Analytics & Business Insights

  • Conduct deep-dive analyses to uncover root causes, quantify opportunities, and support strategic business decisions.

  • Translate complex analytical findings into concise, executive-ready recommendations.

  • Partner with cross-functional stakeholders to evaluate business cases, support prioritization decisions, and measure program success.

AI-Enabled Analytics & Decision Support

  • Leverage AI and machine learning tools to accelerate insight generation, anomaly detection, forecasting, data validation, and pattern recognition.

  • Apply AI-enabled solutions to summarize complex trends, automate quality checks, improve analytical efficiency, and enhance decision support.

  • Evaluate emerging analytics and AI capabilities to continuously improve analytical processes and business impact.

Data Visualization & Storytelling

  • Create compelling dashboards, visualizations, and executive presentations that simplify complex data and communicate clear business outcomes.

  • Develop automated reporting solutions that provide actionable insights to business leaders.

  • Drive adoption of self-service analytics capabilities across stakeholder groups.

Data Quality & Governance

  • Ensure accuracy, consistency, and reliability of data across multiple platforms and repositories.

  • Identify and resolve data discrepancies while implementing controls and monitoring processes to maintain data integrity.

  • Collaborate with technology and data engineering teams to improve data quality, availability, and accessibility.

Cross-Functional Leadership

  • Partner with Product, Customer Experience, Digital, Operations, Finance, and Technology teams to solve complex business challenges.

  • Lead large-scale analytical initiatives supporting customer experience transformation and business performance improvement.

  • Mentor analysts and foster best practices in analytics, visualization, and AI-driven decision-making.

Technical Skills & Tools

Experience with several of the following:

  • SQL

  • Power BI

  • Adobe Analytics

  • Adobe Customer Journey Analytics (CJA)

  • Snowflake

  • Databricks

  • Python

  • Statistical modeling and predictive analytics

  • Generative AI and AI-enabled analytical tools

  • Data visualization and dashboard development

  • Customer journey analytics

  • Large-scale data environments

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, Engineering, Information Systems, or a related field.

Experience

  • 5+ years of experience in analytics, business intelligence, customer analytics, data science, or related fields.

  • Experience supporting digital customer experiences, customer journey optimization, or omnichannel analytics.

  • Demonstrated success presenting complex analytical insights to executive audiences.

  • Experience leveraging AI-enabled tools to improve decision-making and analytical efficiency.

  • Experience with large enterprise datasets and cloud-based analytics environments.

Job Contribution

An experienced analytics professional recognized as a subject matter expert who solves highly complex business challenges through data, advanced analytics, and AI-enabled insights.

Works with significant autonomy to lead strategic initiatives, influence executive decisions, and drive measurable business outcomes. Frequently partners with senior leadership and cross-functional teams while serving as a trusted advisor on customer experience performance, business opportunities, and analytical strategy.

Supervisor: No

Our Lead Data Analysis jobs earn between $116,700.00 - $196,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and 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

Weekly Hours:

40

Time Type:

Regular

Location:

Atlanta, Georgia, Dallas, Texas

Salary Range:

$116,700.00 - $196,100.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here (https://urldefense.com/v3/\_\_https:/www.eeoc.gov/poster\_\_;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2boE9zgEA$) to learn more or request an application accommodation here (https://urldefense.com/v3/\_\_https:/www.att.jobs/accommodation/\_\_;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2bszyLYN3$) .

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

How this job compares

Set against the 632 open Data Analysis jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$117–196K/yr
  • Texas median$88–129K/yr22 salary ranges
  • US median$99–140K/yr300 salary ranges

This range's midpoint, $156K, is 48% above the Texas median midpoint ($106K) — in the top quarter of Data Analysis salary ranges in Texas.

Openings
Olive Jobs lists 51 open Data Analysis jobs in Texas and 632 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 5 years of experience; Data Analysis postings that state a minimum ask for 4 years at the median (358 postings).
Education
This posting asks for a bachelor's degree; 237 of the 632 open Data Analysis jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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