General Dynamics Land Systems

Job Description

About the Role: 

As an Analytics and Power BI Engineer, you will be part of a dynamic Operational Excellence team which drives measurable improvements throughout the Engineering organization. The primary responsibility for this role is to understand customer needs, determine appropriate data requirements, find, evaluate, prioritize and implement solutions that provide measureable data driven improvements. The Engineer will be expected to use tools including but not limited to databases, various analytics tools, Excel, and Power BI at a minimum. 

Company Information: 

General Dynamics is a successful Fortune 100, global aerospace and defense company, with over 90,000 employees world-wide. General Dynamics Land Systems, a business unit of General Dynamics, has a strong foundation of delivering core engineering and manufacturing capabilities to our clients for military vehicles. Our team is focused on continuous process and productivity improvements that reduce product costs, while increasing troop safety and effectiveness. Land Systems continues to work with the US Armed Forces and its Allies to ensure these vehicles remain survivable, relevant, flexible, affordable and capable of addressing a dynamic threat environment.

Hybrid or onsite:

• Due to the nature of the work, this role requires on-site presence of a minimum of 80%

What We Offer:

Starting your career or you are an experience professional, we offer a Total Rewards package that is Impactful and built for you.

• Healthcare including medical, dental, vision, HSA and Flex Spending
• Competitive base pay and incentive pay that rewards individual and team performance, and comprehensive benefits.
• 401k Match (6%)
• Educational Assistance
• 9-80 Work Schedule (This position’s standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off)
• On-going learning opportunities within a diverse, inclusive and rewarding work environment
• Onsite cafeteria, fitness center, and outdoor fitness track

Position Responsibilities: 

• Create and test data models that will ensure data accuracy in dashboard reporting, providing organizational insights and process trends
• Leverage and utilize the internal business systems and associated data to support business needs. 
• Maintain the current suite of Engineering dashboards. 
• Ability to investigate and resolve the data delivery for the Power BI dashboards including, resolution of data source issues, Power BI data refresh issues, Power BI server and report refresh issues, as required.
• Support of and understanding of data security and data governance policies (CUI)
• Lead and facilitate cross functional teams to coordinate the implementation of comprehensive automation/improvement initiatives. Interface with IT/Security as required to identify, understand and resolve planned as well as unplanned technical challenges.
• Determine data needs, clean and filter data for various analysis requests.
• Conduct requirements analysis with report consumers/stakeholders on dashboard visualizations and determine data sources to architect the data model that provides the required business need. 

Position Requirements:

• Bachelor’s degree in data Analytics or other Engineering degree supplemented with appropriate experience.
• A minimum of 7 years of experience
• Proficiency in business intelligence analytics: development and tools for data analytics, Power BI, data modeling, DAX Query, and data cleaning.
• Must be willing to work in an office, lab, proto-type and test site environments.
• Be a self-starter and work in a fast-paced environment
• Strong written and oral communication skills.
• Able to work overtime when required
• This position requires eligibility to obtain a US security clearance. (Non-US Citizens may not be eligible to obtain a security clearance) NO SPONSORSHIP OFFERED 

GDLS considers factors such as, scope/responsibilities of the position, candidate experience and education/training background, in addition to local market comparable and business considerations when extending an offer.