Business Analytics Specialist

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 Specialist within PNC's Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Cleveland, OH, Dallas, TX, Phoenix, AZ, Denver, CO, or Birmingham, AL.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Responsibilities include:

* Build and maintain strong partnerships across technology, analytics, and business teams.
* Prepare and deliver presentations, status updates, and recommendations to leadership and stakeholders.
* Provide onboarding, training, and user support for enterprise analytics and data platforms.
* Communicate platform performance, governance updates, and process changes to diverse audiences.
* Promote compliance with data governance, risk management, and operational control requirements.
* Monitor platform health, performance, and usage metrics to identify risks and improvement opportunities. Preferred Technical

Experience:

* Hadoop/HDFS
* SQL
* Python
* Apache Spark
* Azure
* AWS
* Experience with data visualization and other exploratory data analysis tools is a plus.

Qualifications:

The ideal candidate will demonstrate:
* Excellent verbal, written, presentation, and facilitation skills.
* Strong teamwork, collaboration, and relationship-building abilities.
* Experience communicating with and presenting to leadership and stakeholder groups.
* Knowledge of governance, process management, and operational best practices.
* Strong organizational, analytical, and problem-solving skills.
* Familiarity with analytics, cloud, and big data technologies, including Hadoop, SQL, Python, Spark, Azure, and AWS. 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
* Leverages analytical tools to provide business and technical support for the analytics process, tools and applications for a business function or business unit.
* Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics.
* Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions.
* Assists senior consultants on gathering detailed, actionable reports documenting the findings from, data processing, and data analysis.
* Assists senior consultants on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts. 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 required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Analysis, Analytical Thinking, Business Intelligence (BI), Communication, Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research,…