Quantitative Consumer Research Intern

Interested in learning quantitative research approaches on real business projects Interested in framing the research design, crafting the questions, interacting with respondents to see what we get is what will be useful for the brands or not Want to learn some of the interesting parts of data analysis in excel Want to apply your R based knowledge in writing codes for multivariate statistics Want to get all these analyses visually depicted in powerpoint slides for client presentations This is Quantitative Research. Learn with us thru paid internships. We are a bunch of people who have gone thru the hard grills of market research and more importantly, have applied them in hardcore businesses being on the brand side as well. If both of us are satisfied with each other, we would be happy to offer you a permanent role within 4-6 months.

Responsibilities

1) Crafting powerpoint slides with visually appealing charts; 2) Bring out the real meaning of the data through certain data connections; 3) Analyse large volumes of excel based data with some smart use of formulas and tables; 4) be conversant with certain multivariate statistics to run them in SPSS; 5) use knowledge of R to write codes for certain statistical modules; 6) craft visually appealing questionnaires which can be equally interesting for respondents to answer; 7) use softwares to create html links for questionnaires; 8) develop business development proposals with a perspective on consumer themes to uncover, information areas to explore and efficient sample designs.

Qualifications

1) Graduates with some great results; 2) pre-MBA aspirants; 3) 1 year work experience in consumer facing businesses; 4) Passionate with data analytics; 5) Loves to connect several data points to bring out meaningful interpretations; 6) Expertise in excel and advanced formulas; 7) Preferably knowledge of R to program certain multivariate statistical modules for research; 8) Expertise in a few of the tools like Excel, Powerpoint, Canva, iMovie, DaVinci, Word; 7) Interested in Machine Learning algorithms; 8) Strong in English; 9) Excellent verbal and written communication skills