Data Analyst Senior/Business Analyst Senior - Data and Automation (SQL, Python, Data Quality, AI Tools)

PNC

Closes tomorrow

Quick summary

Work type
On-site
Location
Strongsville, OH
Salary
$75,000–$125,000 / yr
Posted
2 days ago
Closes
Jun 18, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $100k
$59k most similar roles pay here $221k

This role pays less than 98% of similar roles. Most pay $135,000–$202,527 — the shaded band above. At the midpoint, this role pays about $100k 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 174 open roles on FindRole.

Listed pay typically runs $86,250–$178,825 across 60 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Analyst Senior/Business Analyst Senior - Data and Automation (SQL, Python, Data Quality, AI Tools)

As a Senior Data Analyst at PNC’s Data and Automation team in Strongsville, OH, you will support regular data provisioning for commercial model monitoring and development, collaborating closely with data scientists and stakeholders to fulfill evolving data requirements. Your day-to-day responsibilities include onboarding new data domains into enterprise analytics environments, performing hands-on validation, and user acceptance testing to ensure datasets are accurate and fit for use by modeling teams. You will streamline existing code using SQL and Python, translate legacy processes into cloud-native solutions like PySpark, and develop scripts to automate tasks and improve efficiency. Additionally, you will conduct data quality assessments, resolve issues with stakeholders, and adhere to change management practices to document all process changes thoroughly. This role requires expertise in analytical thinking, data mining, machine learning, SQL, and Python, as well as knowledge of emerging technologies and big-data environments.

What you'll do

  • Support data provisioning and validation for model monitoring and development.
  • Onboard new data domains into enterprise analytics environments and validate them.
  • Perform user acceptance testing to ensure datasets are accurate and complete.
  • Streamline existing code using SQL and Python best practices for scalability.
  • Translate legacy data processes into cloud-native solutions like PySpark.
  • Develop scripts and processes to automate repetitive tasks and improve efficiency.
  • Conduct data quality assessments and articulate anomalies, risks, and constraints.

What we're looking for

  • - Proficient in SQL and Python for data analysis and automation.
  • - Experience in data validation, reconciliation, and user acceptance testing (UAT).
  • - Ability to translate legacy data processes into cloud-native solutions using AI tools.
  • - Strong skills in data quality assessment and root cause analysis.
  • - Knowledge of data architecture and business intelligence practices.
  • - Capable of automating repetitive tasks through script development and process improvement.
  • - Adherence to change management practices for code and process changes.

More like this

Similar roles

Data Analyst Senior

PNC

Pittsburgh, PA +2 9 days ago $75,000$137,500
Oracle Database Informatica ETL Tableau JIRA Confluence Visio SQL Developer TOAD MongoDB CI/CD

(USA) Data Analyst II

Walmart

Bentonville, AR 1 day ago $70,000$130,000
SQL Python Power BI ETL Data Visualization Data Quality Management Metadata Management Business Intelligence Analytics Data Governance Dashboard Development Statistical Techniques Enterprise Data Architecture Continuous Improvement Initiatives