13 Oct
Bilingual Research Project Assistant
Ohio, Columbus , 43085 Columbus USA

Position Description:Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public-and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.We are currently looking for part-time bilingual Research Interviewers to work remotely for our Survey Operations Center in support of important national research projects.Job Responsibilities:

Conduct research interviews with study participants by telephone

Utilize a Computer-Assisted Telephone Interviewing (CATI) system for all outreach

Follow standardized procedures and scripts verbatim to ensure study consistency

Enter survey responses into a database

Assist with other survey-related tasks as required

Position Requirements:

1-3 years of prior customer service, call center, research, or interviewing experience preferred

Excellent verbal and written communication skills

Ability to deal tactfully and diplomatically with all people

Bilingual: English/Spanish required

Solid organizational skills and attention to detail

Strong work ethic and a commitment to reliability and high-quality productivity

Ability to work a minimum of 16 hours per week; weekend and evening shifts

We offer an hourly pay rate of $19.00 with a potential for benefits and paid time off.This position is categorized as on-call, and as such, the hours may at times vary based on project needs. Your employment will be classified as on-call until the duration of the project(s) or need(s) is complete.#remote-usaAvailable locations: RemoteWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


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