Data Analyst Senior - Hadoop, SQL Python
Listed on 2026-05-29
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IT/Tech
Data Analyst, Data Engineer
Responsibilities include:
- Must have solid experience with Hadoop
- Must have experience with SQL and Python
- Manage data related to platform usage and health, be a gatekeeper for platform performance data, and oversee the reporting process
- Collaborate and partner with technology to assess and establish processes to govern platform health and efficiency
- Provide onboarding and user support for enterprise analytic and big data platforms, with a focus on supporting platform users
- Monitor platform performance and provide analysis for optimization opportunities
- Understand downstream implications of any platform, process or governance changes and clearly communicate these to impacted partners
- Monitor reporting on the performance of big data platforms and tools
- Organize, prepare content, and present updates to leadership and/or business partners during ACC-owned working group meetings
- Coding
Languages:
SQL, Python - Familiarity with Tableau and Spark
- Exploratory data analysis
- Understanding of Hadoop/HDFS
- Understanding of data risk
- 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…
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