Principal Advanced Analytics

att

Atlanta (GA)

On-site

USD 141,000 - 237,000

Full time

4 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays

Job summary

AT&T is seeking a Principal Advanced Analytics professional to strategically analyze data from diverse sources using predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

This full-time onsite role is based in Atlanta, with responsibilities including building dashboards, applying advanced analytics tools, mentoring others, and partnering with senior leadership to push data-driven initiatives forward.

Qualifications

  • Master's degree in a quantitative field such as Data Science, Math, Statistics, Engineering or Physics.
  • 7+ years of related analytics experience.
  • Certification is required in some areas.

Responsibilities

  • Analyze data from diverse sources to drive informed decision-making and optimize business performance.
  • Develop dashboards and visualizations using Tableau and Power BI.
  • Build predictive models and test their accuracy in real-world scenarios.
  • Provide insights and recommendations to senior leadership.
  • Mentor and guide others on advanced analytics techniques.

Skills

Data analysis
Predictive modeling
Statistical methods
Data visualization
Machine learning

Education

Master's degree in quantitative field

Tools

Tableau
Power BI
Databricks
Snowflake
H2O Driverless AI

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:

THIS JOB REQUIRES SPECIAL APPROVAL FROM THE COMPENSATION JOB FAMILY OWNER. 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 jobs earn between $141,300.00 - $237,400.00 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: $141,300.00 - $237,400.00

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 initiat

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