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)
- Competencies
- 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
