Business Analytics Lead - Digital Marketing Analytics
PNC Financial
- Location
- PA Pittsburgh 15222
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 28, 2026
Skills
About this role
Position
Overview 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 Business Analytics Lead within PNC's Digital Marketing Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; Tyson's Corner, VA; or Washington, D.C.
Position
Summary: We are seeking a highly analytical and technical Business Analytics Lead to join the Digital Marketing Analytics team. This role will lead measurement, experimentation, and optimization initiatives that improve digital marketing effectiveness and drive measurable business value. The ideal candidate combines advanced analytics, digital marketing expertise, and strategic problem solving to influence decisions across marketing and senior leadership. What You Will Do: • Lead measurement strategies and analytical frameworks across digital marketing channels to quantify incremental business impact and inform investment decisions. • Analyze campaign and customer performance to identify opportunities, optimize marketing effectiveness, and maximize ROI. • Design and evaluate experiments, including A/B tests, geo-based tests, and conversion lift studies, to measure incremental business impact. • Develop practical testing frameworks that balance statistical rigor, execution complexity, and business objectives. • Integrate media, web analytics, customer, and marketing technology data to create a unified view of performance. • Build dashboards and visualizations that communicate insights and support decision making. • Translate complex analytical findings into clear, actionable recommendations for business stakeholders. • Present methodologies, insights, and results to technical, business, and executive audiences. Required Qualifications: • Bachelor's degree in a quantitative field, such as Statistics, Economics, Mathematics, Analytics, or a related discipline. • 5+ years of experience in advanced analytics, marketing analytics, experimentation, or data science. • Advanced SQL skills and experience using Python for analytics. • Experience designing and evaluating experiments, including hypothesis testing, power analysis, and causal measurement. • Experience working with large datasets and applying analytical methods to solve business problems. • Strong communication and stakeholder-management skills with the ability to influence decisions through data-driven insights. • Proven ability to operate in ambiguous environments, define problems, evaluate analytical approaches, and recommend solutions. Preferred Qualifications: • Experience with Adobe Analytics, Adobe Experience Platform, SA360, CM360, Google Ads or similar marketing technology platforms. • Experience analyzing digital marketing channels, including paid search, display, social, affiliate, email, and programmatic. • Knowledge of attribution, incrementality, conversion tracking, identity resolution, and customer journey analytics. What Success Looks Like: • Marketing decisions are grounded in credible measurement of incremental business impact. • Testing investments are prioritized based on strategic value, feasibility, statistical validity, and economic viability. • Analytical insights drive measurable improvements in marketing performance and business outcomes. 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
Leads the analytics processes across