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Concurrent Technologies Corporation DATA INNOVATION LEAD in Washington, District Of Columbia

DATA INNOVATION LEAD

Concurrent Technologies Corporation

Hybrid - Washington DC

[[Minimum Clearance Required:[N/A [[Clearance Level Must Be Able to Obtain:[Secret [**[Employee Background Check Required

[[As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and climate resilience in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future.

[[The ERS Division is seeking a qualified and proactive candidate to provide leadership in data analytics. The candidate will work with a small team to build CTCs strength and strategy in data management solutions for our clients. The Data Innovation Lead will lead critical analyses required for comprehensive planning for improving the resilience of DoD Installations. Outdated, manual processes and legacy systems make DoD data vulnerable to errors and misinterpretation which hinders DoD from implementing advanced analytic technologies and making data-informed decisions related to overarching policy, business, and mission priorities. As our Data Innovation Lead, your goal will be to increase knowledge, awareness, and capability within the ERS Division in this area to effectively address this problem for all for our DoD clients. This is a hybrid position, with the flexibility to work remotely while participating in some in-person client and team meetings. Some travel is required.

[[Key Responsibilities:]{verdana=""}]{new="" roman="" times=""}]{verdana=""}]{new="" roman="" times=""}]{verdana=""}]{new="" roman="" times=""}]{verdana=""}]{new="" roman="" times=""}]{verdana=""}]{verdana=""}]{new="" roman="" times=""}]{verdana=""}]{verdana=""}**]{new="" roman="" times=""}

  • Work with CTCs existing project teams to understand client needs, current challenges and potential solutions in all areas related to the collection, extraction, and quantitative/qualitative analyses of installation energy/utility data and issues.
  • Apply knowledge of existing and emerging software tools for application to existing needs of our clients and articulating the benefits and costs for possible options.
  • Conduct detailed analysis of data analytics problems by reverse engineering an existing scenario, detailing a requirement, the existing decision-making process, the existing analytical tools and the existing data sources.
  • Assist in the identification of processes and energy/utility issues that will benefit from the practical application of Systems Engineering, Operations Research and other data analytical methods to facilitate decision making and justify resource allocations (e.g., Value Focused Thinking, Utility Theory, Analytic Hierarchy Process, Life-Cycle Cost Analysis, Cost and Engineering Estimates, and Data Envelopment Analysis).
  • Prepare info papers, briefings, point papers, reviews and oral presentations as may be directed to translate the results from analysis to government decision makers.

[[Basic Qualifications:]{verdana=""}]{new="" roman="" times=""}

BA or BS in engineering, computer science, physics, mathematics, operations research, or related field

A minimum of 6 years directly related experience

Advanced experience using Microsoft Excel, database management systems such as MySQL, Oracle, Microsoft Access, and data visualization tools such as Microsoft Power BI and Tableau.

[[Familiarity with utility and infrastructure requ rements and systems.< ]{verdana=""}]{new="" roman="" times=""}

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