Data Analyst - Supply Chain Data Insights & Analytics

RTX•Richardson, TX

2d•Onsite

About The Position

The Data Analyst, as part of the Supply Chain Data Insights and Analytics (SC DIA) team, is responsible for providing data and advanced analytics, including integrated dashboards, reports, and metrics to the Raytheon Operations, Q&MA, and Supply Chain Organizations. The successful candidate will develop, implement, and support data & analytics, data science prediction & AI, operational reports, and other evaluations to drive operational efficiencies.

Requirements

Typically requires an advanced degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of two (2) years of prior relevant experience.
At least two years of experience with Structured Query Language (SQL)
Working experience using databases, including query writing, data mining, and data model interpretation
Working experience using one or more of the following Dashboard Applications (Power BI or Tableau)
Working experience evaluating and reviewing data for issue identification.
Experience designing, developing, data validation and statistical verification, and deploying metric and dashboards for executive management.
Experience in development/usage of OSCQ metrics and the identification/institution of perceptive verifications.

Nice To Haves

Experience producing data visualizations for a variety of different audiences.
Experience using Alteryx or another data prep / ETL application.
Experience with Enterprise Resource Planning (ERP) Systems and reporting applications (i.e., PRISM, SAP and Business Warehouse).
Experience with the Scaled Agile Framework (SAFe) Processes.
Experience presenting written and verbal communications.
Demonstrated experience as a change agent, able to energize and influence across all levels, and communicate with and influence both technical and non-technical stakeholders.

Responsibilities

Serve as a key member of the SC DIA team supporting all OSCQ data requirements and ensuring successful performance by developing conforming products and services through effective collaboration, compliance to processes and procedures.
Analyze large, complex production datasets to identify trends, inefficiencies, and improvement opportunities.
Create and maintain data pipelines, data validation checks, and documentation.
Participate in major projects critical to OSCQ strategic CORE initiatives with responsibility for quality of data and reports.
Work collaboratively with the team to ensure alignment and data system requirements are met.
Provide value through data for end-users and other stakeholders.
Maintain the quality and accuracy of data in applications, reports, and metrics by partnering with the Digital Technology team and other functional representatives, as needed.
Engage with the OSCQ Team as part of the Agile Release Train(ART)Teams using Scaled Agile Framework (SAFe) processes.