Data Expert - Data, Model & Analytics

PNC • Tysons, VA

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 Data Expert within PNC's Data, Model & Analytics Customer Data Solutions organization, you will be based in Pittsburgh, PA or Tysons Corner, VA. The Customer Data Analytics & Solutions team is responsible for strengthening the reliability, quality, and consistency of customer data across the enterprise. This role focuses on delivering analytical and data driven solutions that enable accurate, compliant, and trusted customer information to support critical business decisions. The position plays a key role in implementing targeted solutions for high impact customer data challenges, including consumer contact data, consent management, entity resolution, and customer relationship representation. The ideal candidate brings strong analytical rigor, hands on data expertise, and the ability to operate across business, risk, and technology partners to reinforce enterprise data integrity.

Requirements

• Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
• Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
• Specific certifications are often required.
• 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 foundation in data analytics, including data sourcing, profiling, modeling, and analysis
• Translate ambiguous business questions into clear analytical approaches and defensible insights
• Hands on experience with analytics, reporting, or data tools (e.g., SQL, Python, Spark, Power BI, Tableau, dashboards, or similar platforms)
• Understanding of data quality, data consistency, and data governance concepts
• Strong problem solving and communication skills, with the ability to operate in cross functional environments
• Comfortable working in fast paced, request driven settings where priorities may evolve
• Experience with consumer products and strong business knowledge of banking products and services
• Experience working with enterprise customer data, preferably in banking or financial services
• Familiarity with modern analytics, automation, or AI enabled tools (e.g., Copilot, low code platforms, AI assisted analysis)
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• Application Design, Architecture
• Business Intelligence
• Data Architecture
• Data Governance
• Data Mining
• Emerging Technologies
• Informatics/Information Sciences
• IT Standards, Procedures & Policies
• Modeling: Data, Process, Events, Objects
• Root Cause Analysis (RCA)

Responsibilities

• Advance the evolution of consumer data products spanning customer contact data, consent and preferences, householding, and entity resolution
• Develop customer data analytics and solutions to support business decision making, operational efficiency, and regulatory needs
• Partner with technology, data engineering, and platform teams to design, prototype, and deliver production ready data and analytics solutions
• Act as a trusted data and analytics partner for stakeholders across business, risk, and governance functions
• 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.

Benefits

• PNC offers a comprehensive range of benefits to help meet your needs now and in the future.
• Depending on your eligibility, options for full-time employees include: 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.
• In addition, PNC generally provides the following paid time off, depending on your eligibility: 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.
• To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees