Business Analytics Specialist - Data, Modeling & Analytics

PNC•Pittsburgh, PA

1d•Onsite

About The Position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Business Analytics Specialist within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA. Leverages analytical tools to provide business and technical support for the analytics process, tools and applications for a business function or business unit. Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics. Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions. Assists senior consultants on gathering detailed, actionable reports documenting the findings from, data processing, and data analysis. Assists senior consultants on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts.

Requirements

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
Analytical Thinking
Business Acumen
Business Analytics
Consulting
Decision Making and Critical Thinking
Effective Communications
Bachelors degree
University / college degree with < 1 year of professional experience and/or successful completion of a formal development program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Strong communication skills; resilient and adaptable in dynamic environments.
Intermediate experience with Python, PySpark, Slurm, Bitbucket
Understanding of basic banking products and regulatory frameworks.
Exposure to CECL/CCAR or regulatory reporting
Financial experience preferrable
Analytical Thinking
Business Intelligence (BI)
Concept Development
Data-Driven Decision Making
Data Integration
Market Research
Performance Metrics
Qualitative Research
Strategic Planning

Responsibilities

Develop, maintain and enhance comprehensive control processes for CECL, CCAR, and Model Monitoring projects.
Ensure all procedures comply with current regulations, including code development, documentation, validation, and ongoing model performance review.
Establish clear guidelines to track model outcomes and respond proactively to regulatory changes.
Collaborate closely with the modeling team to facilitate the successful implementation and onboarding of both existing and new models.
Provide analytical support, share insights on model performance, and integrate compliance requirements throughout the model implementation lifecycle.
Foster effective communication between teams to ensure alignment with business objectives and regulatory standards.
Apply advanced Python programming skills to support process development and troubleshooting.
Dedicate effort to debugging complex issues, optimizing code, and ensuring the accuracy and reliability of model outputs.
Rapidly identify and resolve technical challenges, contributing to the overall efficiency and effectiveness of the analytics process.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service.