Data Expert

at  PNC Financial Services Group

Job Profile
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 Expert within PNC’s EDM Enterprise Data Consumption organization, you will be based either in Columbus, OH or Strongsville, OH or Pittsburgh, PA. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

Functions as a data expert supporting Commercial model monitoring, model development, and other Commercial asset-based analytics. The role demands proficiency in SQL and Python, with a strong focus on code streamlining, refactoring, change management, and documentation.

• Support regularly occurring data provisioning for Commercial model monitoring, model development, third parties, and other analytics.
• Work closely with data scientists and Model analytics management to understand and fulfill data requirements.
• Streamline and refactor existing code using best practices in SQL and Python to enhance performance and maintainability.
• Develop new scripts and processes to automate repetitive tasks and improve data processing efficiency.
• Conduct thorough data quality assessments and clearly articulate data anomalies to management and data consumers using root cause and trending analysis.
• Collaborate with stakeholders to resolve data quality issues and implement preventative measures.
• Adhere to change management practices to ensure that all code changes are reviewed, tested, and approved before implementation.
• Track and document changes to code and data processes, ensuring transparency and accountability.
• Occasionally participate in scrum development teams, supporting the vision of Enterprise Data Management and the modeling community contributing to project planning, development, and testing activities.

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. 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 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
Competencies 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)
Work Experience 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.
Education Bachelors
Certifications No Required Certification(s)
Licenses No Required License(s)
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; 8 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 pncbenefits.com > New to PNC.

• For more information, please click on the following links:

Time Away from Work
PNC Full-Time Benefits Summary
PNC Part-Time Benefits Summary
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say “Workday” for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices

• Support regularly occurring data provisioning for Commercial model monitoring, model development, third parties, and other analytics.
• Work closely with data scientists and Model analytics management to understand and fulfill data requirements.
• Streamline and refactor existing code using best practices in SQL and Python to enhance performance and maintainability.
• Develop new scripts and processes to automate repetitive tasks and improve data processing efficiency.
• Conduct thorough data quality assessments and clearly articulate data anomalies to management and data consumers using root cause and trending analysis.
• Collaborate with stakeholders to resolve data quality issues and implement preventative measures.
• Adhere to change management practices to ensure that all code changes are reviewed, tested, and approved before implementation.
• Track and document changes to code and data processes, ensuring transparency and accountability.
• Occasionally participate in scrum development teams, supporting the vision of Enterprise Data Management and the modeling community contributing to project planning, development, and testing activities