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Enterprise Data Operations Analyst (Senior) / Data Analyst Senior - (SQL, AI Tools, Agile, Jira)

PNC
Strongsville Technology Center (OH537), United States, United Statesfull_timeVerifiedPosted 30 Apr 2026
💰 $148,460/yr($55,000/yr$148,460/yr)

About the role

Position Overview

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 Data Analyst Senior within PNC's Data Operations organization, you will be based in Pittsburgh, PA or Strongsville, OH.

This role supports the Enterprise Data Warehouse (EDW) and downstream regulatory, analytics, and reporting consumers. The position focuses on data quality, production support, release readiness, PII compliance and cross team coordination across key Commercial source systems. The role is highly collaborative and operational, with a strong focus on keeping data flowing accurately and predictably to regulatory, analytics, and reporting teams.

• Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
• Helps advise business, applications and operations counterparts to ensure data integrity and availability.
• Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
• Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
• Researches customers needs, conducts awareness and promotional sessions for potential customers.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

 

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

  • Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
  • Advises end-users on data manipulation, end-user support systems and statistical analysis.
  • Selects new information sources and acquires stock. Catalogs and indexes new materials.
  • Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
  • Researches customers needs, conducts awareness and promotional sessions for potential customers.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Project Management, Scrum, Structured Query Language (SQL)

Competencies

Application Design, Architecture, Business Intelligence, Data Architecture, Data Mining,

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Company

PNC

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