Operations Research Analyst

Data Analyst and Decision Support Specialist

Collect and analyze data and develop decision support software. Use mathematical modeling to interpret data and information collected to help management with decision making, policy formulation, and other managerial functions. Identify and develop methods for measuring the performance of the company’s marketing initiatives, working closely with the management partners to formulate and describe the company’s short run and long run goals and actions. Utilize mathematics and database application knowledge to design processes for data collection, data analysis, and data application in order to turn the data into information for perfecting the company’s customers, referrals, and competitors databases. Integrate analyze information from qualitative and quantitative sources, including research, marketing information, financial data, etc. to perform analysis on optimal methods of operations, customer needs, main problems, and business trends. The person will be responsible for analyzing and interpreting data using appropriate and established research and statistical methodologies, deriving meaningful conclusions and implications from the data, and organizing and presenting findings to management. Study information from management to conceptualize and define operational problems. Select plans and proposals that will afford maximum probability of profit or effectiveness in relation to cost or risk. Using quantitative market analysis, forecasting, and business development skills to develop market models that reflect the climate of the company’s competition in the marketplace. Evaluate opportunities to grow business in new and creative ways by evaluating the potential of current marketed services. Use quantitative analysis skills to target return on investment data and communicate the competitive analysis information to key internal staff for tactical and strategic action.