Data Analyst Sr

PNC•Pittsburgh, PA

2d•Onsite

About The Position

As a Senior Data Analyst within PNC's Technology organization, you will be based in Pittsburg, PA or Cleveland, OH. 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. Senior Data Analyst to join the Marketing Technology team to support data‑driven customer and prospect experiences across omni‑channel platforms. This role will analyze large and complex datasets, build and maintain data pipelines, and deliver insights that enable personalization, campaign optimization, and marketing performance measurement. The ideal candidate brings strong experience with SQL, Python, and analytics tools, works effectively with technology and business partners, and is eager to learn and grow in a fast‑paced MarTech environment. Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Advises end-users on data manipulation, end-user support systems and statistical analysis. Selects new information sources and acquires stock. Catalogs and indexes new materials. Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Researches customers needs, conducts awareness and promotional sessions for potential customers.

Requirements

university / college degree, with 3+ years of relevant / direct industry experience
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
SQL
Python
analytics tools

Nice To Haves

Analytical Thinking
Analytics
Competitive Advantages
Data Analytics
Data Mining
Data Science
Datasets
Machine Learning (ML)
Omnichannel Marketing
Python (Programming Language)
Structured Query Language (SQL)

Responsibilities

Manages and develops information systems for clients
conducts data information analysis for a variety of studies under the direction of organizational standards
Advises end-users on data manipulation, end-user support systems and statistical analysis
Selects new information sources and acquires stock
Catalogs and indexes new materials
Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses
Researches customers needs
conducts awareness and promotional sessions for potential customers

Benefits

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
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