Columbia University
Staff Associate-Marketing
Columbia University, Long Island City, New York, United States, 11101
Columbia Business School is seeking to hire a Staff Associate in the Marketing Division.
Increase your chances of an interview by reading the following overview of this role before making an application.Under the guidance of the Marketing faculty liaison andDirector of Research and Planning, 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, development of research materials (figures, presentations, papers, etc.), and work on special projects relating to pertinent fields of research within the division.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 inor in a quantitative discipline such as Mathematics, Statistics, 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 communications skills needed – writing sample is requiredThe candidate must be able to work on multiple projects simultaneouslySupplemental information about what makes a great candidate >>Columbia University is an Equal Opportunity Employer / Disability / VeteranPay Transparency DisclosureThe 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.
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Increase your chances of an interview by reading the following overview of this role before making an application.Under the guidance of the Marketing faculty liaison andDirector of Research and Planning, 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, development of research materials (figures, presentations, papers, etc.), and work on special projects relating to pertinent fields of research within the division.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 inor in a quantitative discipline such as Mathematics, Statistics, 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 communications skills needed – writing sample is requiredThe candidate must be able to work on multiple projects simultaneouslySupplemental information about what makes a great candidate >>Columbia University is an Equal Opportunity Employer / Disability / VeteranPay Transparency DisclosureThe 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.
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