PNC Business & Data Analytics Lead 

United States, New Jersey 

175549761

Responsibilities• Collaborate with department leads and stakeholders to understand their reporting and analytics needs, translating these into scalable and impactful solutions.
• Communicate analytical findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.
• Identify opportunities to improve analytics processes, including automation, data delivery, and advanced analytics capabilities.
• Ensure the integrity and quality of data used in analytics and reporting, establishing best practices for data governance and validation.
• Oversee the design, development, and optimization of reporting and dashboard tools using Python, Power BI, Tableau and/or Looker to enable data-driven decision-making across teams.
• Drive the creation and refinement of data models in Hadoop, ensuring high-quality, scalable, and reusable datasets.
• Develop and enhance proprietary attribution algorithms and manage integrations with third-party attribution partners to provide accurate insights.
• Utilize Python and/or AWS Services for building, maintaining, and scaling advanced analytics models and algorithms.
• Stay updated on the latest tools, technologies, and methodologies to continuously enhance the team's capabilities.Desired Skills & Experience• Attention to details, ability to create clear, crisp and actionable insights, proven experience managing analytics teams and delivering actionable insights.
• Expertise in Python (required) for developing advanced analytics.
• Working knowledge in Machine learning and statistical modeling using Python/R
• Hands-on experience with Python/R, Hadoop, Tableau, Power BI, and Looker, designing complex data models and dashboards.
• Expertise in using pandas, NumPy, plotly, seaborn, matplotlib.
• Strong understanding of attribution modeling, including proprietary algorithm development and third-party attribution tools.
• Familiarity with machine learning, advanced analytics and statistical modeling using Python/R.
• Demonstrated ability to align analytics strategies with business goals and stakeholder needs.
• Exceptional project management, organizational, and communication skills.
• Strong problem-solving skills, with the ability to handle complex data challenges and find practical solutions.
• Proven ability to adapt quickly to new tools, technologies, and business environments.Job Description

• Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as mentor to more junior employees.
• Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
• Determining the optimal analytic approach and supporting development, implementation and enhancements.
• Conceptualizing, developing and continuously optimizing analytical solution for operations and executive management to enable data driven decision making.
• Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

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.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.

Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
California Residents

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