College of Charleston
Staff Associate-Marketing
College of Charleston, New York, New York, us, 10261
Columbia Business School is seeking to hire a Staff Associate in the Marketing Division.
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.Under the guidance of the Marketing faculty liaison and Senior Associate Director of Research Programs, the Staff Associate will take an active role in ongoing research projects in the Division of Marketing. The work will include quantitative and qualitative research and analysis, collection, coordination, and management of information and data, development and implementation of computer models and simulations, and development of research materials (figures, presentations, papers, etc.).This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as marketing, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study.All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics.(30%) Collect, clean, and maintain computer data sets and databases. Assist with data entry and ensure data integrity. Extract and link data from multiple databases for analysis. Prepare detailed documentation.(25%) Develop models and implement program code (STATA, R, Matlab, Python, etc.).(20%) Perform statistical analysis, including regression analysis.(15%) Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets.(10%) Perform case-based research, including work with detailed primary documents.All applicants should have a Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, or Engineering. At least 6 months of research experience in a research role as a research assistant during the academic year; or a 3-month summer internship in a research lab, a governmental institution such as the NY Fed, or a corporate research lab.Specific skills and/or knowledge required for the position:Programming experience in STATA is required. Strong preference for those who also know Python.Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C is preferred.Familiarity with statistical tools such as linear regression is required.Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred.Demonstrated exceptional written and oral communication skills are needed; a writing sample is required.The candidate must be able to work on multiple projects simultaneously.Columbia University is an Equal Opportunity Employer / Disability / Veteran.Pay Transparency Disclosure:
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
#J-18808-Ljbffr
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.Under the guidance of the Marketing faculty liaison and Senior Associate Director of Research Programs, the Staff Associate will take an active role in ongoing research projects in the Division of Marketing. The work will include quantitative and qualitative research and analysis, collection, coordination, and management of information and data, development and implementation of computer models and simulations, and development of research materials (figures, presentations, papers, etc.).This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as marketing, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study.All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics.(30%) Collect, clean, and maintain computer data sets and databases. Assist with data entry and ensure data integrity. Extract and link data from multiple databases for analysis. Prepare detailed documentation.(25%) Develop models and implement program code (STATA, R, Matlab, Python, etc.).(20%) Perform statistical analysis, including regression analysis.(15%) Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets.(10%) Perform case-based research, including work with detailed primary documents.All applicants should have a Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, or Engineering. At least 6 months of research experience in a research role as a research assistant during the academic year; or a 3-month summer internship in a research lab, a governmental institution such as the NY Fed, or a corporate research lab.Specific skills and/or knowledge required for the position:Programming experience in STATA is required. Strong preference for those who also know Python.Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C is preferred.Familiarity with statistical tools such as linear regression is required.Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred.Demonstrated exceptional written and oral communication skills are needed; a writing sample is required.The candidate must be able to work on multiple projects simultaneously.Columbia University is an Equal Opportunity Employer / Disability / Veteran.Pay Transparency Disclosure:
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
#J-18808-Ljbffr