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Parker Hannifin Corporation Digital and IT Analyst-Data Architect in CLEVELAND, Ohio
Digital and IT Analyst-Data Architect
Location : CLEVELAND, OH, United States
Job Family : Information Technology
Job Type : Regular
Posted : Jun 7, 2024
Job ID : 49570
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Employer: Parker Hannifin Corporation
Job Title: Digital and IT Analyst-Data Architect
Job Location: 6035 Parkland Blvd. Cleveland, OH 44124
Job Type: Full-time, Monday – Friday, 7:00 am to 5:00 pm
Duties: Test, maintain, troubleshoot, and suggest improvements for Company Information Technology systems and services across the global organization. Create, maintain, advance and support analysis of key enterprise datasets. Optimize information technology architecture, in support of meeting the future state vision for Company IT, via data wrangling, corralling, and integrations. Develop and manage data quality, normalization, attribution models, and metrics needed to make multiple disparate data sources usable for data mining. Integrate key external data sources into internal enterprise data responsibilities for use by all analytics team members and report writers across the enterprise. Collaborate with the Artificial Intelligence Teams of IT Technical Specialists for Corporate IT, in pursuit of Company-wide IT architecture solution implementation and optimization. Remote work permitted within a reasonable commuting distance of the Cleveland, Ohio office.
Requirements: Bachelor’s degree in Computer Engineering, Computer Science, or a closely related field and two (2) years of experience as a IT Analyst, Data Analyst, or closely related technical occupation. Also requires two (2) years of experience in the following:
· Supporting enterprise data workflow and integrations in DataStage, Informatica, Alteryx, Python, Databricks and/or SSIS;
· SQL, Azure Data Warehouse, Azure Databricks, Data Lake, DB2, ETL, Informatica, Power BI and Alteryx, Python, and R;
· Enterprise data management and integrations that impact business results in area of expertise; and
· Data wrangling, working with large data sets of varying quality, structured and un-structured, to solve business challenges.
Contact: To apply: Apply online at www.parker.com/career Job ID# 49570 or email to usajobs@parker.com (Ref Job Id# 49570)