Data Analyst Senior

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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of 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 Data Analyst Sr within PNC’s Technology
- Retail Shop & Buy
- Text Banking organization, you will be based in Pittsburgh, PA, Strongsville, OH, or Dallas, TX.

• Partner with Product Owners and technical teams to understand business requirements and translate them into data solutions
• Design and develop database objects, including tables, views, and stored procedures
• Implement database constraints, indexing strategies, and performance optimization techniques to ensure efficiency
• Apply best practices to maintain data accuracy, consistency, and integrity
• Deliver insights and recommendations to enhance business processes, products, and performance
• Develop dashboards and reports using tools such as Tableau, Excel, and similar platforms
• Develop and maintain SQL scripts and stored procedures, ensuring they are tested and deployment‑ready
• Provide support to the team during monthly release cycles, including troubleshooting and issue resolution

Candidates must be proficient in:

• Oracle Database
• Informatica ETL
• Tableau
• JIRA
• Confluence
• Visio (to draw flow diagrams)
• SQL Developer
• TOAD
• Tableau

• MongoDB

• 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.

• 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.

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.

• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• MongoDB

• Application Design
• Architecture
• Business Intelligence
• Data Architecture
• Data Mining
• Emerging Technologies
• Informatics/Information Sciences
• Information Management
• IT Environment
• Modeling:
  Data, Process, Events, Objects, Requirements Analysis

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Bachelors

No Required Certification(s)

No Required License(s)

Base Salary: $75,000.00 - $

Salaries may vary based on…