Project Manager, Engineering

Job Description:

Responsibilities include, but are not limited to:

• Support the Engineering Division through the development and maintenance of meaningful, actionable, Quality Assurance metrics
• Drive departmental procedural compliance goals by providing timely updates to faulty/outdated procedures, and through the creation of metrics that reflect procedural effectiveness
• Regularly Interface with Engineering, Design, Program Office, and the internal customer
• Develop visual interfaces that simplify complex datasets
• Performing tasks associated with Quality Assurance
• Provide quick turnaround of data visualizations for emergent needs

Required/Preferred Education/Training:

• Associate's degree in computer science, statistics, or equivalent data science discipline, OR
• Graduate of an accredited Data Analytics/Visualization or Data Science program, OR
• 3 years' relevant analytics experience developing metrics and data visualizations.

Required/Preferred Experience:

• Demonstrated proficiency in creating Python based queries using various modules including Pandas and Numpy.
• Experience in compiling and producing visualizations in Tableau, Alteryx, or other data visualization software.
• Mastery of Excel, and proficiency with MS Access.
• Ability to plan, organize, and execute projects in a team setting.
• Ability to work under pressure in a fast-paced, changing environment.
• Strong communication and interpersonal skills required.
• The ideal candidate will be able to demonstrate programming and visualization proficiency through Github, or an equivalent portfolio repository. The link to the repository/portfolio should be included with the resume upon submission.