Get more replies from employers
Send a job-specific resume in minutes.
Kalman & Company is seeking a highly motivated Senior Data Analyst to support DHS programs in Arlington, VA. You will collect, analyze, and report investment data and develop analytic methods to guide major studies in Kalman’s portfolio.
US citizenship is required, with an active clearance or the ability to obtain one. You should have at least seven years of government acquisition experience, a bachelor’s degree, and strong written and verbal communication.
Kalman & Company is seeking a highly motivated, performance-driven individual with strong cost analysis experience to work closely with our Department of Homeland Security (DHS) clients. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the ability to principally contribute to several of the largest and most significant studies in Kalman's portfolio. This position will require on-site work in Arlington, VA. The salary range is $120K/yr-$135K/year. This position is tied to a government proposal.
A career with Kalman & Company, Inc. is both rewarding and challenging. Our clients require skilled, hardworking, innovative support service providers who can meet the demands of a dynamic and fast-paced workplace. As a Kalman Analyst, you will work with military leaders, engineers, developers, technicians, logisticians, and financial managers to collect, analyze, and communicate information that will help ensure the success of programs that are critical to the United States Department of Defense and our allies.
The Senior Data Analyst applies extensive knowledge and experience to obtain, integrate, and report programmatic and investment related data and develop and apply analytic methodologies and principles; lead the application of analytic techniques and help define project objectives and strategic direction; resolve complex problems which require an in-depth knowledge of analytic methodologies and principles; analyze acquisition and investment data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models; conduct research, data gathering, and technical reviews; produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities; troubleshoot issues in reports related to data; assimilate, integrate, and interface technical knowledge with business/system requirements; utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.