Position Overview

As a Portfolio Analytics & Strategy Analyst for the Marketing and Customer Analytics Data Enablement team, you will be a key player in building and maintaining the data pipelines that enable our marketing team to make data-driven decisions. You will work closely with marketing analysts, data scientists, and business stakeholders to understand their data needs and translate them into robust, scalable, and reliable data solutions. Your work will directly impact our ability to understand customer behavior, optimize campaign performance, and personalize our communication.

Key Responsibilities:
• Design & Development: Build, test, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources (e.g., customer databases, marketing platforms, digital channels, third-party data providers) into our data warehouse.
• Data Modeling: Collaborate with marketing and analytics teams to design and implement efficient data models that support reporting, ad-hoc analysis, and machine learning initiatives.
• Infrastructure Management: Help design, manage and optimize our data infrastructure, including data warehouses, data lakes, and data orchestration tools (e.g., Airflow).
• Data Quality & Governance: Implement processes and tools to ensure data accuracy, consistency, and reliability. Monitor data pipelines for issues and proactively resolve them. Establish and maintain data governance best practices within the marketing data ecosystem.
• Performance Optimization: Optimize queries and data structures to improve the performance and efficiency of data access for analysts and data scientists.
• Collaboration: Partner with cross-functional teams, including product, engineering, and compliance, to ensure data is handled securely and in accordance with banking regulations.
• Innovation: Stay current with the latest data engineering technologies and methodologies and propose new solutions to improve our data platform.

Preferred skills and experience:
• 2+ years of experience as a Data Analyst, with a strong preference for experience in a marketing or financial services context.
• Strong proficiency in Python, SQL and Spark is essential, with the ability to leverage AI tools like GitHub Copilot to debug, create code validations, and write readme files.
• Hands-on experience with visualization platforms like Tableau or PowerBI.
• Hands-on experience with data engineering project management and documentation tools such as Atlassian Jira and Confluence.
• Hands-on experience with modern cloud data warehouses like Snowflake, Big Query, or Amazon Redshift.
• Experience building and managing ETL/ELT pipelines using tools like Apache Airflow, or similar technologies.
• Experience with at least one major cloud provider (AWS, or Azure).
• Solid understanding of data modeling principles (e.g., star schema, snowflake schema).
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A proactive and collaborative attitude, with a passion for building data solutions that deliver real business value.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
• Familiarity with marketing platforms and their APIs (e.g., Adobe Experience Platform, Salesforce Marketing Cloud, Google Ads).
• Knowledge of machine learning concepts and experience building data pipelines for ML models.
• Familiarity with financial industry regulations and data security best practices.

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

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
• Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
• Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
• Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

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, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies
Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management Banking

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

Certifications
No Required Certification(s)

Licenses
No Required License(s)

Pay Transparency

Base Salary: $75,000.00 - $125,000.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 08/13/2026, although it may be longer with business discretion.

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; 9 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 pncthrive.com.