Jobs · Information Technology · Ohio

Data Analyst

Precision Castparts · Toronto, OH · 3 wk ago
On-siteInformation TechnologyFull-time

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

- Identify business intelligence, reporting, and data analysis needs. - Work closely with clients and IT teams to turn data into critical information and knowledge. - Provide accurate and reliable data that is easily available for direct consumption or integration with other systems. - Educate and train clients to use the data as an analytical tool. - Display information in new forms and content for analysis and option exploration. - Work with clients to determine business requirements, priorities, define key performance indicators (KPI), and develop BI and data warehouse (DW) strategies.

Qualifications

- Education and Experience: Bachelor's degree in Business Analytics, Computer Science, Information Systems, or related field. Relevant work experience in data analysis, business intelligence, or similar roles. - Competencies: Strong analytical skills, ability to communicate effectively, proficiency in SQL, data visualization tools, and BI platforms. - Special Skills: Knowledge of data warehousing, data modeling, and data mining techniques. Experience with data analysis software and tools. Ability to work independently and as part of a team.

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