Applied Data Analyst Drug Demand Reduction Initiatives Job at Concurrent-technologies-corporation, Remote

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  • Concurrent-technologies-corporation
  • Remote

Job Description

Applied Data Analyst – Drug Demand Reduction Initiatives Concurrent Technologies Corporation Remote: USA Minimum Clearance Required : Secret Clearance Level Must Be Able to Obtain : Secret In a rapidly changing world, preparedness is the key to success. As a part of the CTC Readiness Division, you will collaborate with experts and innovators to provide comprehensive cutting-edge strategies and solutions, innovative training technologies, and state-of-the-art analysis and decision support tools. Our readiness solutions improve safety and occupational health, support emergency response accountability, and ensure the continuity of vital operations. With CTC Readiness Division, you become part of a dedicated team shaping a safer, more secure future. Elevate your readiness posture and make a tangible impact in building a world that's better prepared for tomorrow’s uncertainties. Concurrent Technologies Corporation (CTC) is hiring a part-time Applied Data Analyst – Drug Demand Reduction Initiatives role to support the Department of Defense’s Office of Drug Demand Reduction (ODDR). This position involves working on data-driven initiatives to monitor and address drug trends and threats. The ideal candidate will bring experience in data analysis, visualization, and report development, and will play a key role in designing and executing research strategies. Collaboration with ODDR is essential to ensure insights are aligned with policy objectives and effectively communicated to DoD leadership. Key Responsibilities : Collect, clean, interpret and analyze data for new and ongoing drug trend and drug threat projects and studies. Create data visualizations that clearly communicate and drive data-driven processes. Conduct analytical report writing for presentations and policy memoranda. Collaborate with Office of Drug Demand Reduction (ODDR) on formation of statistical research designs that create a synthesized strategy for both data collection and analysis for a DoD leadership audience. Basic Qualifications: Bachelor's degree (or higher) in Statistics, Biostatistics, Computer Science, Mathematics, Geographic Information Science (GIS), or related field and a minimum of 6 years of experience in data analysis. Ability to manipulate and extract data while maintaining utmost confidentiality. Professional knowledge of and skill in applying a wide range of complex analytical and statistical theories, principles, and practices Knowledge of programming languages SQL, python and software such as Qlik, Power BI, Microsoft Excel, or similar statistical software packages Proficient in the English language in speech, writing, and personal interactions Excellent analytical, organizational and time management skills Strong communication skills, both oral and written Demonstrate a strong independent work ethic with the initiative to collaborate across multiple teams to effectively synthesize data. U.S. Citizen and able to acquire a DoD Common Access Card (CAC). Relevant Advanced Degree Why CTC? Our teams at CTC are passionate and thrive on collaboration in a team environment When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges Competitive salary and benefits package Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life Visit to learn more Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work. Staffing Requisition: SR# 2025-0102 “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.”

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