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# Data Analyst - AMG

- **Company:** The PNC Financial Services Group, Inc.
- **Location:** Pittsburgh, PA, United States
- **Experience:** Experienced
- **Salary:** $52,500.0 - $127,500.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Software Applications, Big Data, Cloudera Impala, Data Definition Language, Data Dictionary, Data Mining, Data Systems, Data Warehousing, Database Connection, Database Storage Structures, Apache Hadoop, Apache Hive, Machine Learning, Metadata, Operational Data Store, Scrum Methodology, Systems Development Life Cycle, Apache Spark, Data Analytics, Data Management
- **Published:** July 17, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3323249946&tx=UT5753TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Strong experience with Big Data technologies including Hadoop ecosystem (Hive, Impala, Spark) and advanced SQL querying for data analysis and reporting.
 * Ability to understand business processes and requirements and translate them into clear technical specifications, STM documents, and data solutions.
 * Excellent communication and collaboration skills to work effectively with Product Owners, Business Analysts, developers, and stakeholders throughout the project lifecycle.
 * Experience creating and maintaining technical documentation, including data mappings, source-to-target mappings (STM), data dictionaries, and process documentation.
 * Working knowledge of Agile methodologies, including participation in sprint planning, daily standups, backlog refinement, and delivery within Scrum-based teams., 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

Analytical Thinking, Core Application Systems, Data Administration, Database Structures, Data Warehousing, Effective Communications, Information Assurance, Logical Data Modeling, Query and Database Access Tools, Requirements Analysis

Work Experience

Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

## Description

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 within PNC's AMG organization, you will be based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL., * Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.

 * Provides support to business users for mining and interpretation of warehoused and operational data.
 * Plans and performs activities regarding designed data models for systems development.
 * Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.
 * Manages data definitions and data traceability within data repository to improve documentation and coordination.

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.


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