> Markdown version of [/jobs/ext/3793900-data-analyst-senior](https://www.wearedevelopers.com/jobs/ext/3793900-data-analyst-senior). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst Senior

- **Company:** The PNC Financial Services Group, Inc.
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Salary:** $75,000.0 - $137,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Data Architecture, Data Governance, Data Mining, Data Visualization, Apache Hadoop, Hadoop Distributed File System, Information Management, Information Sciences, Python (Programming Language), Machine Learning, Power BI, Standard Sql, SAS (Software), Software Engineering, Tableau (Software), Data Processing, Apache Spark, Information Technology, Data Analytics, Data Management
- **Published:** October 17, 2026
- **Apply:** https://dejobs.org/x/x/0FA257CB3B164F58A52018D9BA85D7C5/job/

## About the Role

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

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. 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 Senior within PNC's DNA ML Operations organization, you will be based in Pittsburgh PA, Strongsville OH, Dallas TX or Birmingham AL.

Responsibilities Include:

 * Manage and organize platform data to support reporting and analysis of

usage, adoption, capacity, performance, and other key trends.

 * Develop reporting and analytics to support platform management and

business decision making.

 * Analyze platform data to identify usage patterns, risks and opportunities

for improvement

 * Build and maintain strong partnerships across technology, analytics, and

business teams, providing onboarding, training, and user support for

enterprise analytics and data platforms

 * Communicate platform performance, governance updates, process

changes, status, and recommendations to leadership and other

stakeholders.

 * Promote compliance with data governance, risk management, and

operational control requirements.

Preferred Technical Experience:

 * Hadoop/HDFS

 * SQL

 * Python

 * Apache Spark

 * Azure

 * AWS

 * SAS

 * Tableau / Power BI

 * Experience with data visualization and other exploratory data analysis

tools is a plus.

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., * 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.