7 data engineering analyst jobs at 6 companies in Pittsburgh, PA
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Business Analyst
Etten-Leur or Marcianise or Houston or Pittsburgh or Moosic
OnsiteFull Time
FlowserveNYSE: FLS: Manufactures and services industrial pumps, valves, and mechanical seals.
Bachelor's/MSc in computer science, data engineering, supply chain or related; proven experience building dashboards and automations; strong SQL, Microsoft Excel, Power BI and Python skills; ERP knowledge; data testing and QA; fluent English.
Bechtel Plant Machinery, Inc.: Provides engineering and procurement for U.S. naval nuclear propulsion.
0+ YOEBachelor's in Engineering, minimum 3.0 GPA for new grads; ability to obtain DOE security clearance; travel ~10-15%; strong written/verbal communication and problem-solving; experience with vibration data collection and analysis preferred.
Devon EnergyNYSE: DVN: Explores and produces oil and natural gas onshore.
1+ YOEAssociate degree or equivalent experience, 1+ years relevant experience, strong Microsoft Office skills, experience with Aries/SQL/Oracle/P2/SCADA/Spotfire/PowerBI/SEEQ/GIS, data QA/QC and visualization, strong communication.
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
5+ YOEBachelor's degree required; 5+ years in QA/Quality Engineering or test automation; experience implementing AI/ML in QA, test automation (Selenium/Playwright/Cypress/UFT), API/backend testing, CI/CD integration, and programming in Python/Java/JavaScript/C#.
HydroOslo Børs: NHY: Produces aluminum products and renewable energy solutions globally.
Degree in mathematics, business, economics or engineering; strong data analysis and Excel skills; procurement or project experience preferred; ability to work with multiple ERPs, present to stakeholders, and travel up to 30%.
Microsoft Excel, Power Query, Power BI, VBA Macros, Microsoft PowerPoint, ERP
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
2+ YOETranslate business needs into clear, testable requirements and user stories; analyze processes, systems, and data flows; support change management and quality for fraud engineering outcomes.