Data Analyst - Data and Automation - Enterprise Data Analytics (SQL, Hadoop, Hive, Python)

PNC Bank•Pittsburgh, PA

6d•Onsite

About The Position

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 Data Analyst within PNC's Data and Automation organization, you will be based in Pittsburgh, PA; Cleveland, OH; Dallas, TX; or Birmingham, AL. Candidates will require strong problem-solving skills and the ability to analyze, model and interpret data. This individual will need experience in analytics, programming languages (SQL) and Hadoop and should be able to analyze business requirements, current technical gaps and possible applications needed to support business strategies and expectations. 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.

Requirements

Ability to create and troubleshoot SQL
Working knowledge of Hadoop, Hive and Impala
Skilled in Python.
Documentation of data requirements
Perform data analysis for downstream demand
Self-motivated individual able to work with little supervision
Bachelors degree
2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)

Responsibilities

Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
Provides support to business users for mining and interpretation of warehoused and operational data.
Plans and performs activities regarding designed data models for systems development.
Resolves metadata and data sourcing problems.
Maintains metadata and data dictionaries.
Manages data definitions and data traceability within data repository to improve documentation and coordination.

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.