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 (Frontier) within PNC's MIS Finance organization, you will be based in Pittsburgh-PA, Cleveland-OH or Strongsville-OH

Must have Frontier Experience
Build and create reconcilements and matching rules.
Work with ETL developers to source data for Frontier.
Tune Frontier for faster imports and matching.
Troubleshoot Frontier technical issues as needed.

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

Competencies

Application Design, Archi