Responsibilities

• Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
• Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
• Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
• End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
• Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
• Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering, data processing and data mining of large and complex datasets.
• Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

Requirements

• 5+ years of industry-relevant experience.
• Masters degree.
• Proficiency in Python and SQL (intermediate).
• Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
• Strong attention to detail.

Preferred

• Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
• Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
• Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
• Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
• Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.

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, dental and vision options; life insurance; disability protection; 401(k) with match, pension and stock purchase plans; dependent care reimbursement; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance; wellness program.
• Paid time off includes maternity/parental leave, holidays, occasional absences, and vacation days depending on career level.