Data Analyst

Company: Precision CastParts

Location: Toronto, OH

Type: Full-time

Posted: 2026-04-27

About this role

# Data Analyst

Country

United States of America

State / County

Ohio

City

Toronto

Division

Metals

Company

TIMET Division

Function

Administration, Continuous Improvement, Information Technology, Operations

Workplace Type

On-Site

Position type

Full Time

Opportunity ID

21651

Job Description

Summary

The BI Data Analyst role identifies business intelligence, reporting, and data analysis needs. They work closely with clients and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions. The BI Analyst builds an understanding of the business at a level of detail that enables them to identify and address critical issues. They provide data that is accurate and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems.

The BI Analyst educates and trains clients to use the data as an analytical tool, displaying the information in new forms and content for analysis and option exploration. The BI Analyst will work with clients to determine business requirements, priorities, define key performance indicators (KPI), and develop BI and data warehouse (DW) strategies.

Essential Functions

  • Provides design support for the development of business intelligence solutions.
  • Works on medium to complex and cross-functional IT and business intelligence solutions.
  • Works on multiple tasks/projects as team member.
  • Works with internal and external customers and IT partners to develop and analyze business intelligence needs.
  • Provides input to business requirements for the design of solutions.
  • Interprets business requirements and determines optimum BI solutions to meet needs.
  • Identifies and provides input to new technology opportunities that will have an impact on the PCC Metals’ BI systems.
  • Designs PCC Metals wide “views” and custom reports.
  • Extracting and manipulating large datasets from diffe...

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