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Senior Data Analyst/Research Associate
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Guttmacher Institute
- Career category: Research/ Data analysis
- Job type: Job
- Experience level: 5-10 years
- Organisation type: Civil Society
- Remote option: No
- Right to work requirements: Right to work required in advance
- Remuneration: $106,745 USD-$165,289 USD / yearly
- Work schedule: Full-time
- Length of contract: Temporary/ Fixed-term
- Location: United States
Organization:
Founded in 1968, the Guttmacher Institute is a global leader in advancing sexual and reproductive health and rights. Through a unique and interrelated program of high-quality research, evidence-based advocacy and strategic communications, the Institute works to generate new ideas, encourage enlightened public debate, and promote sound policy and program development; its overarching goal is to ensure the highest standard of sexual and reproductive health and rights for all people worldwide. The Institute is engaged in building a more inclusive, transparent and equitable organization.
Founded in 1968, the Guttmacher Institute is a global leader in advancing sexual and reproductive health and rights. Through a unique and interrelated program of high-quality research, evidence-based advocacy and strategic communications, the Institute works to generate new ideas, encourage enlightened public debate, and promote sound policy and program development; its overarching goal is to ensure the highest standard of sexual and reproductive health and rights for all people worldwide. The Institute is engaged in building a more inclusive, transparent and equitable organization.
Responsibilities:
- Implement and oversee the implementation of global analyses using R and/or Stata.
- Oversee data management, analysis of international surveys (e.g. DHS, MICS, PMA), program code and associated documentation for all component projects for AIU, under direction of the AIU research program leadership.
- Oversee training of project staff on data processing and establishing efficient systems.
- Make data and model-estimates available and accessible to non-research audiences, where appropriate.
- Remain up-to-date on new approaches, innovations, standards, and best practices in statistical data analysis relevant for supporting scientific rigor.
- Remain up-to-date on the development of new SRH indicators, emerging research and new data on SRH impacts and costs, specifically in the areas of abortion, family planning, maternal and newborn care, STIs and HIV in the international context.
- Support and/or participate in drafting and/or review of research articles and project reports, serving as first author in some cases.
- May present findings and represent Guttmacher at meetings and conferences.
- Provide mentorship, onboarding and training support to AIU program staff on all aspects of the program's analytic processes.
- Other duties as assigned.
Qualifications
- Demonstrated experience performing and understanding complex data analysis procedures.
- High level of expertise working with population survey data, including DHS, MICS, PMA as well as other survey data.
- In-depth knowledge and familiarity with key sexual and reproductive health modelling research.
- Deep familiarity with global SRH indicators, including monitoring and measurement.
- Experience merging data tables and extracting data from a variety of sources.
- High proficiency with Stata required.
- Able to learn new data manipulation and analysis techniques and tools quickly.
- Ability to liaise with external consultants, collaborators and/or organizations.
- Excellent ability to work with team members with diverse skills.
- Ability to train and supervise staff in more junior positions in implementing data management and analysis tasks.
- Strong ability to work independently and in close collaboration with others.
- At least 5 years of experience working on research projects with complex data or programming needs.
- A master's degree in a social science, public health, statistics, computational sociology, data science, or equivalent training in a related field and a minimum of five years of progressively responsible related work experience; or a bachelor’s degree in a related discipline and seven years of progressively responsible related work experience
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