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Principal Advanced Analytics

AT&T

Software and Technology Jobs

Principal Advanced Analytics

full-timePosted: Nov 19, 2025

Job Description

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

Overall Purpose: Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.

Supervisor: No

TCP Career Step Differentiator: Performs very complex advanced analytics work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector.

Education/Experience: Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience. Certification is required in some areas.

Our Principal Advanced Analytics earns between $143,800 - $215,800 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

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.  Apply today!

Ready to join our team? Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$143,800.00 - $215,800.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Locations

  • Dallas, Texas, United States

Salary

143,800 - 215,800 USD / yearly

Estimated Salary Rangemedium confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data analysis and interpretationintermediate
  • Relational databases (Oracle, MySQL)intermediate
  • Data Warehouse (Snowflake, Databricks Delta Lake)intermediate
  • Advanced statistical methodsintermediate
  • Traditional modeling techniquesintermediate
  • Tableauintermediate
  • Palantirintermediate
  • PowerBI (AI Insights)intermediate
  • Databricksintermediate
  • AWSintermediate
  • Azureintermediate
  • Synapseintermediate
  • H2O Driverless AIintermediate
  • Big data analytics toolsintermediate
  • Linear/Logistic Regressionintermediate
  • Time Seriesintermediate
  • Developing visualizations (dashboards, reports, charts)intermediate
  • Strategic insight surrounding emerging trends and technologiesintermediate
  • Leading critical, high-impact projectsintermediate
  • Designing/implementing innovative business strategiesintermediate
  • Mentoring and assisting othersintermediate

Required Qualifications

  • Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics (experience)
  • 7+ years of related experience (experience)
  • Certification is required in some areas (experience)

Responsibilities

  • Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions
  • Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake)
  • Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
  • Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making
  • Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
  • Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc.
  • Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series)
  • Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions
  • Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes

Benefits

  • general: Medical/Dental/Vision coverage
  • general: 401(k) plan
  • general: Tuition reimbursement program
  • general: Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • general: Paid Parental Leave
  • general: Paid Caregiver Leave
  • general: Additional sick leave beyond what state and local law require may be available but is unprotected
  • general: Adoption Reimbursement
  • general: Disability Benefits (short term and long term)
  • general: Life and Accidental Death Insurance
  • general: Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • general: Employee Assistance Programs (EAP)
  • general: Extensive employee wellness programs
  • general: 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

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AT&T logo

Principal Advanced Analytics

AT&T

Software and Technology Jobs

Principal Advanced Analytics

full-timePosted: Nov 19, 2025

Job Description

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

Overall Purpose: Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.

Supervisor: No

TCP Career Step Differentiator: Performs very complex advanced analytics work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector.

Education/Experience: Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience. Certification is required in some areas.

Our Principal Advanced Analytics earns between $143,800 - $215,800 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

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.  Apply today!

Ready to join our team? Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$143,800.00 - $215,800.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Locations

  • Dallas, Texas, United States

Salary

143,800 - 215,800 USD / yearly

Estimated Salary Rangemedium confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data analysis and interpretationintermediate
  • Relational databases (Oracle, MySQL)intermediate
  • Data Warehouse (Snowflake, Databricks Delta Lake)intermediate
  • Advanced statistical methodsintermediate
  • Traditional modeling techniquesintermediate
  • Tableauintermediate
  • Palantirintermediate
  • PowerBI (AI Insights)intermediate
  • Databricksintermediate
  • AWSintermediate
  • Azureintermediate
  • Synapseintermediate
  • H2O Driverless AIintermediate
  • Big data analytics toolsintermediate
  • Linear/Logistic Regressionintermediate
  • Time Seriesintermediate
  • Developing visualizations (dashboards, reports, charts)intermediate
  • Strategic insight surrounding emerging trends and technologiesintermediate
  • Leading critical, high-impact projectsintermediate
  • Designing/implementing innovative business strategiesintermediate
  • Mentoring and assisting othersintermediate

Required Qualifications

  • Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics (experience)
  • 7+ years of related experience (experience)
  • Certification is required in some areas (experience)

Responsibilities

  • Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions
  • Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake)
  • Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
  • Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making
  • Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
  • Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc.
  • Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series)
  • Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions
  • Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes

Benefits

  • general: Medical/Dental/Vision coverage
  • general: 401(k) plan
  • general: Tuition reimbursement program
  • general: Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • general: Paid Parental Leave
  • general: Paid Caregiver Leave
  • general: Additional sick leave beyond what state and local law require may be available but is unprotected
  • general: Adoption Reimbursement
  • general: Disability Benefits (short term and long term)
  • general: Life and Accidental Death Insurance
  • general: Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • general: Employee Assistance Programs (EAP)
  • general: Extensive employee wellness programs
  • general: 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

Target Your Resume for "Principal Advanced Analytics" , AT&T

Get personalized recommendations to optimize your resume specifically for Principal Advanced Analytics. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Principal Advanced Analytics" , AT&T

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TelecommunicationsTelecommunications

Answer 10 quick questions to check your fit for Principal Advanced Analytics @ AT&T.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.