KEY ROLES AND RESPONSIBILITIES:

• Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Power BI, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration.
• Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions.
• Uses traditional modeling techniques to build models that support decision making.
• Client facing role that develops reports, charts, tables, and other visual aids in support of findings.
• Advises business partners about patterns and relationships in data to recommend business direction or outcomes.
• Expert in Excel.

TASKS THAT WOULD BE PART OF THE JOB:

• Demonstrates the ability to apply financial benefit to KPI improvements without guidance.
• Develops visualization to support analytic findings in multiple formats. Demonstrates the ability to develop automated recurring analysis.
• Demonstrates the ability to extract, load, and transform data from multiple sources.
• Executes complex data joins across multiple sources to provide insights into business problems and measure results.
• Demonstrates the ability to present complex analysis with business impact at multiple levels of management up to and including the Executive level.
  Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies. Supervisory: No.
  Education/Experience: Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Math, Statistics, Engineering or Physics. 5+ years of related experience. Certification is required in some areas.
  Our Lead HR Analytics earn between $130,700 - $196,100 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.