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  • Data Analyst - Economics, School of Arts & Sciences
    Economics, School of Arts & Sciences
    Tufts University

    Overview


    The Department of Economics is one of the largest departments in Arts and Sciences, and Engineering. It has twenty-four full-time faculty, approximately fourteen part-time faculty, a large undergraduate program, graduate program, and PhD program. Office staff assist with student questions, with management of the undergraduate and graduate program and with other essential department activities.  The graduate program has doubled in size in the past eight years, and we anticipate more growth in the future.  Professor Steve Cicala’s ongoing and new research projects are related to energy, the economy, and pollution.



    What You'll Do


    This is a hybrid role. The location of work is flexible until September 1, 2022, and will be located at Tufts University thereafter.


     


    The Data Analyst will be a key contributor to advanced empirical projects on the relationship between electricity and economic activity, and pollution from power plants. Specific activities include writing web scrapers in Python to compile electricity consumption data from online platforms, programs to pull and process raster images, basic geocoding, data management, website platform design, and database management & processing. For examples of previous work, visit https://www.stevecicala.com/papers/papers.html . The Analyst will work in close contact with the Professor Cicala.  This is a one-year position through June 30, 2023, with the possibility of extending for a second year. Top candidates are seeking to develop research experience before applying to a Ph.D. in economics. Previous members of the team moved on to graduate studies in top-US institutions, including UC Berkeley and the University of Chicago. Individuals from backgrounds that are historically underrepresented in economics are especially encouraged to apply.  



    What We're Looking For


    Basic Requirements:


     



    • Knowledge and skills as typically acquired by a Bachelor's degree in economics, computer sciences, engineering, or related STEM fields is highly desirable

    • Experience with quantative data analysis software (e.g., python, Stata, R)

    • Ability to organize and summarize information in a clear and concise manner

    • Ability to manage databases, construct data files, conduct and supervise data entry, and perform data edits/cleaning in a statistical software package (e.g., Stata, R)

    • Ability to work collaboratively with a research team, yet feel comfortable making decisions independently

    • High level of motivation, strong organizational skills, attention to detail, and effective communication skills

    • Strong writing skills and ability to prepare clear documentation

    • Exhibits intellectual independence and takes initiative

    • Strong analytical skills


    Preferred Qualifications:



    • Relevant research experience as a research assistant

    • Knowledge of R and/or Python preferred

    • Knowledge of STATA preferred


        


     



    An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer.

    Equal Opportunity Employer – minority/females/veterans/disability/sexual orientation/gender identity.


 


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