Mid-Level Data Analyst: Analytics, Modeling & Dashboards

The Boeing Company; Wichita (KS); On-site; USD 91,000 - 139,000; Full time

Job summary

The Boeing Company in Wichita, KS, is seeking a data analytics professional to consolidate and analyze diverse data sets, develop algorithms, dashboards, and models to drive strategic decisions within Spirit AeroSystems' commercial operations.

You will collaborate with cross-functional teams, apply statistical methods and machine learning, and stay current with analytic technologies. The role offers a competitive reward package within a union-represented environment.

Qualifications

• 6-9 years’ related experience with a Bachelor’s, 4-7 years’ related experience with a Masters
• Experience with data modeling and statistical analysis
• Ability to work with cross-functional teams

Responsibilities

• Consolidates and analyzes diverse data sets; develops algorithms, dashboards, and queries to model datasets.
• Keeps abreast of new analytic methodologies and technologies.
• Collaborates with functional business units to drive business solutions and direction.
• Develops, inspects, mines, transforms, and models data using off-the-shelf software and writing new codes to raise productivity.
• Uses statistical software to perform statistical analysis.
• Collects, analyzes and interprets numerical data from various sources.
• Prepares conclusions and predictions based on data summaries.
• Devises modeling and measuring techniques using mathematics and machine learning techniques.

Skills

Data analysis

Statistical methods

Machine learning

Dashboard development

Collaboration with business units

Education

Bachelor's degree

Master's degree

Job description

The Boeing Company in Wichita, KS, is seeking a data analytics professional to consolidate and analyze diverse data sets, develop algorithms, dashboards, and models to drive strategic decisions within Spirit AeroSystems' commercial operations.

You will collaborate with cross-functional teams, apply statistical methods and machine learning, and stay current with analytic technologies. The role offers a competitive reward package within a union-represented environment.