Regulatory Analytics Lead: Data Automation & Reporting

Fairygodboss; Pittsburgh (Allegheny County); On-site; USD 91,000 - 169,000; Full time

Job summary

PNC is seeking a Business Analytics Lead within the Regulatory Reporting organization, with base in Pittsburgh, PA or other specified locations. The role drives automation, data quality, and scalable reporting across FFIEC 031, FR Y-9C, FR Y-15, TIC, FR 009, partnering with tech and data teams to deliver outcomes.

The role emphasizes hands-on data work, process improvements, QA testing, and documentation of data lineage to support audit and regulatory expectations.

Qualifications

• Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, or related field.
• Strong SQL skills to query, transform, and analyze large datasets.
• Experience in data analysis, reconciliations, and QA/testing in a financial or data-intensive environment.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Design, develop, and enhance automated data pipelines and reporting processes supporting key regulatory reports.
• Perform data analysis, reconciliations, and variance investigations to ensure accuracy, completeness, and consistency of regulatory reporting data.
• Translate regulatory reporting requirements into data and system solutions in partnership with subject matter experts.
• Support development and enhancement of reporting logic within Axiom or similar regulatory reporting platforms.

Skills

SQL

Data analysis

Regulatory reporting

Problem solving

Cross-functional teamwork

Education

Bachelor's degree or equivalent

Tools

Axiom

Python

Job description

PNC is seeking a Business Analytics Lead within the Regulatory Reporting organization, with base in Pittsburgh, PA or other specified locations. The role drives automation, data quality, and scalable reporting across FFIEC 031, FR Y-9C, FR Y-15, TIC, FR 009, partnering with tech and data teams to deliver outcomes.

The role emphasizes hands-on data work, process improvements, QA testing, and documentation of data lineage to support audit and regulatory expectations.