Sr Data Analyst - Python|Teradata|Hadoop|SQL Apply
Job Profile
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 companys success. As a Data Analyst within PNC's Enterprise Data Provisioning (EDP) organization, you will be based in Pittsburgh, PA, Cleveland, OH or Charlotte, NC. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the managers discretion.
As a Data Analyst Sr, you will collaborate with other cross-functional teams and their downstream data consumers in the design of proof of concept (POC) data examples ensuring understanding and agreement prior to obtaining customer approval for warehouse changes. In this role, you will focus on supporting medium and large-scale priority corporate initiatives. You will be responsible for collecting new data requirements, perform analysis, data mining and mapping to support various business strategies. Additionally, you will be required to demonstrate an aptitude in writing coherent SQL in any of the major relational databases.
Due to the nature of this position, we are seeking candidates who possess strong problem-solving skills and the ability to analyze, model and interpret data. Preferred candidates will have experience in analytics, programming languages (SQL) and warehouse consumption. Candidates should be adept in presenting complex concepts and communicating technical content to general audiences, designing and documenting technical requirements as well as possess the ability to effectively manage and prioritize projects in a fast-paced environment.
Technical skillsets required to be successful in this role include but are not limited to:
- Ability to create and troubleshoot SQL
- Working knowledge of Hadoop, Hive and Impala
- Working experience with Python
- Data warehousing concepts and applications
- Documentation of data requirements
- Knowledge and experience in creating BI solutions
- Perform data analysis for downstream demand
- Self-motivated individual able to work with little supervision
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
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.
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.
Competencies
Application Design, Architecture Knowledge of application design activities, tools and techniques; ability to utilize these to convert business requirements and logical models into a technical application design.
Business Intelligence Knowledge of and ability to utilize business processes and technologies for gathering, storing, analyzing, and providing access to data that helps the organization make better business decisions.
Data Architecture Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.
Data Mining Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.
Emerging Technologies Knowledge of and ability to design, apply and evaluate new information technologies for business environments in order to improve work productivity and accuracy.
Informatics/Information Sciences Knowledge of and the ability to gather, communicate and store useful information within and across organizations in order to enhance employee knowledge and improve organizational performance.
Information Management Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency.
IT Environment Knowledge of an organization's IT purposes, activities and standards; ability to create an effective IT environment for business operations.
Modeling: Data, Process, Events, Objects Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.
Requirements Analysis Knowledge of methods and techniques to elicit, analyze and record required business functionality and non-functionality requirements; ability to analyze these requirements to ensure the success of a system or software development project.
Work Experience
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors
Additional Job Description
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include 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; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement:
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include accommodation request in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and select Option 4: Recruiting for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO):
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
