Data Expert - Enterprise Credit Portfolio Analytics

PNC

Quick summary

Work type
On-site
Location
PA · Cleveland, OH · Tysons Corner, VA · Strongsville, OH
Salary
$91,000–$202,800 / yr
Posted
7 days ago
Nearby
54 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $147k
$77k most similar roles pay here $226k

This role pays less than 62% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $147k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 150 open roles on FindRole.

Listed pay typically runs $86,250–$185,900 across 57 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Expert - Enterprise Credit Portfolio Analytics

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As a Data Expert at PNC's Enterprise Credit Portfolio Analytics team, you will work closely with technology and engineering teams to rapidly develop and deploy analytical solutions that support critical business decisions. Your day-to-day responsibilities include translating complex business questions into actionable analytics, designing prototypes, and ensuring seamless transitions into production environments. You will leverage modern tools like Power BI and AI-enabled platforms to create scalable solutions while maintaining data integrity and security. Ideal candidates possess strong foundational expertise in data modeling and analysis, experience with portfolio-level data, and a proven track record of developing end-to-end analytical solutions. This role requires hands-on experience with low-code platforms and emerging technologies, as well as the ability to work effectively in fast-paced environments where urgency is paramount.

Skills

Power BI Power Apps AI Builder Machine Learning Data Mining Data Analytics Data Science Python R SQL Tableau Kafka Hadoop Spark Azure AWS CI/CD

What you'll do

  • Translate ambiguous business questions into clear analytical approaches.
  • Design and build analytics solutions, supporting their transition to production.
  • Partner with technology teams to develop and deploy analytical solutions.
  • Apply portfolio level analysis to support credit and commercial decisions.
  • Leverage modern tools and AI features responsibly to enhance decision support.

What we're looking for

  • Strong foundational expertise in data and analytics, including sourcing, modeling, and analysis.
  • Proven ability to develop end-to-end analytical solutions from concept through production.
  • Experience translating complex business questions into clear, actionable analytical approaches.
  • Hands-on experience with modern analytics and low-code platforms like Power BI and Power Apps.
  • Demonstrated problem-solving skills in fast-paced, request-driven environments.
  • Familiarity with AI-enabled tools and emerging technologies for enhancing analytics workflows.
  • Background in banking or financial services industry preferred but not required.

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