Lead Advanced Analytics

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.

The Lead Advanced Analytics role is responsible for designing developing and maintaining advanced analytics and reporting and data solutions that support Compensation. This individual will play a critical role in building scalable data and automation solutions ensuring data accuracy and delivering actionable insights to business stakeholders.

This role supports the end-to-end Quota Tool process on the Consumer Technology Team for Sales Compensation Automation & Analytics. Having a strong background in Agile development is a must in continuing to create a culture of being fast accountable and results oriented. Having vast knowledge in our applications that serve as our Commission Hierarchy Billers and Point of sale systems will be a value add for our processes and tools.

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- SQL Server Oracle) 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 experienced professional recognized as an expert creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy influencing executive decisions. Mentors less experienced staff implements long-term plans impacting the organization and frequently collaborates with senior leadership. Supervisor: No

TCP Career Step Differentiator: Performs very complex advanced analytics work builds complex business models and makes recommendations that impact multiple organizations lines of the business etc.

Education/Experience: Bachelors degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science Math Statistics Engineering or Physics. 5 years of related experience. Certification is required in some areas.

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.

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

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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 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.