Onsite Data Analyst: Power BI & Data Visualization

Pratt & Whitney; Springdale (AR); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Life, short term disability, long term

Paid time off

401-K with company match

Other innovative benefits

Job summary

Pratt & Whitney is seeking a data analytics professional to integrate, transform, and validate data from varied sources such as enterprise applications, spreadsheets, databases, and APIs. You will develop analytics solutions that improve understanding of enterprise data and support stakeholders across the program.

The role emphasizes data quality, governance, security, and documentation while partnering with customers to translate requirements into practical data products and ensuring on-time

Qualifications

• HS diploma with 2 years relevant experience.
• Experience with SharePoint or PowerBI.

Responsibilities

• Integrate, transform, and validate data from varied sources (enterprise apps, spreadsheets, databases, text files, APIs).
• Develop and maintain data analytics, visualization, and reporting solutions.
• Establish and improve data quality, governance, and documentation.
• Collaborate with customers and stakeholders to translate requirements into data solutions.
• Document requirements, data definitions, processes, use cases, and procedures.
• Apply security, governance, privacy, and compliance to data and analytics.
• Drive projects to completion on schedule.

Skills

SharePoint

Power BI

Python

Azure

Databricks

ML platforms

ServiceNow data

GitHub

Education

HS diploma or equivalent

Job description

Pratt & Whitney is seeking a data analytics professional to integrate, transform, and validate data from varied sources such as enterprise applications, spreadsheets, databases, and APIs. You will develop analytics solutions that improve understanding of enterprise data and support stakeholders across the program.

The role emphasizes data quality, governance, security, and documentation while partnering with customers to translate requirements into practical data products and ensuring on-time