AI Analytics Specialist | Python & GitHub Pro

PNC Financial Services Group; Pittsburgh (Allegheny County); On-site; USD 53,000 - 88,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Job summary

PNC Financial Services Group is recruiting a Business Analytics Specialist to advance AI-driven analytics initiatives. You will work on data processing, modeling, and reporting, collaborating with senior consultants to deliver actionable insights and data-driven solutions across multiple business units.

Based in a C-level analytics team, the role emphasizes hands-on AI tooling, continual learning, and contributing to AI-focused projects within an in-office culture that supports work-life balance.

Qualifications

• Bachelor's degree required or equivalent in a related field.
• Strong analytical and problem-solving abilities.
• Experience working with AI/ML concepts is preferred.

Responsibilities

• Leverages analytical tools to provide business and technical support for analytics processes, tools, and applications for a business function or unit.
• Recommends appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics.
• Analyzes and processes data, builds and maintains models and report templates, and develops dynamic, data-driven solutions.
• Assists senior consultants in gathering detailed, actionable reports documenting findings from data processing and analysis.
• Assists senior consultants in using BI data for predictive analytics and facilitating implementation of new tools and data marts.

Education

Bachelor's degree

Tools

GitHub

GitHub Copilot

Python

Job description

PNC Financial Services Group is recruiting a Business Analytics Specialist to advance AI-driven analytics initiatives. You will work on data processing, modeling, and reporting, collaborating with senior consultants to deliver actionable insights and data-driven solutions across multiple business units.

Based in a C-level analytics team, the role emphasizes hands-on AI tooling, continual learning, and contributing to AI-focused projects within an in-office culture that supports work-life balance.