Research Associate (with Survey Data and Quantitative Insights Specialization)

Shift timings: 1 p.m. – 10 p.m. (Work from office)

Qualifications (Required):

1. Bachelor’s Degree required
2. History of excellence in academics, personal and vocational achievements
3. Strong understanding of basic statistical concepts
4. Able to analyze and interpret quantitative data to answer business questions
5. Excellent research and analytical skills
6. Familiarity with R, SPSS, Q, SAS, or other statistical software
7. Familiarity with programming surveys in Decipher/Forsta, Survey Monkey, Qualtrics, or equivalent
8. Strong written and verbal communication skills
9. Strong project management skills: ability to multi-task, work under pressure, and successfully manage deadlines

Qualifications (Preferred):

1. Experience with research in a business context
2. Experience with questionnaire writing, design, and development preferred, but not required
3. Experience working with vendors (bonus ifsurvey research panel vendors)
4. Project scoping and proposal development experience
5. Experience creating charts in Excel and Powerpoint
6. Experience coding in Python or similar

Additional Required Competencies:

1. Attention to detail
2. Easy to collaborate with, able to collaborate across a global team
3. Fast learner of software tools and new subject matter
4. Good with timelines and prioritization of tasks
5. Able to complete tasks across multiple projects in a given day
6. Clear communicator
7. Natural problem solver
8. Self-motivated, able to manage own time and work independently
9. Comfort with ambiguity of an entrepreneurial environment
10. Solid business judgement
11. Able to diagnose needs of project stakeholders and best align solutions to meet their needs

Priority Experience (Required):

1. 1-3 years’ work experience in a professional services environment (management consulting/business research/advisory)
2. Experience or background with survey research

Priority Experience (Preferred):

1. Social science research methods training or experience
2. Some background in financial services or insurance industry