AI-Driven Finance Process Analyst

BNY; Pittsburgh (Allegheny County); Vor Ort; USD 58.000 - 74.000; Vollzeit

Zusammenfassung

BNY is seeking an AI Process Analyst to support a large-scale digital transformation within the accounting and finance organization in Pittsburgh, PA. The role partners with business stakeholders to assess workflows, identify inefficiencies, and drive re-engineering with automation, data analytics, and AI-enabled solutions to boost operational effectiveness.

This is a 12-month contract with four days onsite per week.

Qualifikationen

• Bachelor’s degree in CS, Eng, IS, Data Analytics, Finance or related field.
• 3+ years of experience in process optimization, workflow redesign or technology implementation.
• Proficiency with Python, JavaScript, SQL and AI Prompt Engineering.
• Experience with low-code/no-code platforms and automation tools.
• Strong analytical, problem-solving and communication skills.
• Experience with Alteryx, Power BI and automation tools.

Aufgaben

• Analyze current-state workflows and design future-state models that improve operating effectiveness.
• Coordinate with the project manager through the full project lifecycle.
• Document workflows and develop solutions that simplify and streamline operations.
• Support automation, AI and digital solutions to reduce manual work and improve decisions.
• Establish governance and continuous improvement culture across the program.

Kenntnisse

Python

JavaScript

SQL

AI Prompt Engineering

Analytical thinking

Communication

Ausbildung

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Finance

Tools

Alteryx

Power BI

Xceptor

Low-code platforms

Jobbeschreibung

BNY is seeking an AI Process Analyst to support a large-scale digital transformation within the accounting and finance organization in Pittsburgh, PA. The role partners with business stakeholders to assess workflows, identify inefficiencies, and drive re-engineering with automation, data analytics, and AI-enabled solutions to boost operational effectiveness.

This is a 12-month contract with four days onsite per week.