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Jobs · Information Technology · Pennsylvania

Portfolio Analytics & Strategy Analyst - Marketing & Customer Analytics

PNC · Pittsburgh, PA · 2 mo ago
On-siteInformation Technology$75k–$125k/yrFull-time

As a Portfolio Analytics & Strategy Analyst within PNC's Data, Modeling & Analytics Marketing & Customer Analytics organization, you will be based in Pittsburgh or Philadelphia, Cleveland, OH, Wilmington, DE, or Tysons Corner, VA.

About the role

Our marketing team leverages data to create personalized and effective campaigns that drive customer engagement and business growth. We are seeking a skilled and passionate Analyst to join our team and build the data infrastructure that powers our marketing intelligence.

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.

Responsibilities

  • 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.
  • Collaborate with marketing and analytics teams to design and implement efficient data models that support reporting, ad-hoc analysis, and machine learning initiatives.
  • Help design, manage, and optimize data infrastructure, including data warehouses, data lakes, and data orchestration tools (e.g., Airflow).
  • 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.
  • Optimize queries and data structures to improve the performance and efficiency of data access for analysts and data scientists.
  • Partner with cross-functional teams, including product, engineering, and compliance, to ensure data is handled securely and in accordance with banking regulations.
  • Stay current with the latest data engineering technologies and methodologies and propose new solutions to improve our data platform.
  • Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes.
  • Run complex business performance, risk, and operational analytics, including the development of analytical methods/models to assess market, credit, and/or operational risk of new and existing financial products.
  • Leverage business/product expertise to rigorously analyze large datasets, improve risk-adjusted returns, deliver profitable growth, and communicate conclusions.
  • Synthesize analytical results and develop, recommend, and implement business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance.
  • Establish baselines for strategies and track actual performance to expectations.
  • Apply 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.
  • Manage engagements with internal and external information suppliers ensuring solutions are fit for purpose while maintaining appropriate governance and oversight.
  • Work with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies.
  • Design/enhance standard reporting suites for regular product/portfolio reviews.
  • Collaborate 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.

Requirements

  • 2+ years of experience as a Data Analyst, with a strong preference for experience in a marketing or financial services context.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong proficiency in Python, SQL, and Spark, 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.

Preferred Qualifications

  • 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.

Skills

  • Analytical Thinking
  • Credit Risks
  • Data Analytics
  • Financial Analysis
  • Model Development
  • Operational Risks
  • Quantitative Models
  • Risk Appetite

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.
  • Paid time off, including:
    • 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.

Pay

Base Salary: $75,000.00 – $125,000.00. Salaries may vary based on geographic location, market data, and individual skills, experience, and education. This role is incentive eligible with payment based upon company, business, and/or individual performance.

PNC is an in-office company. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

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