Research and Data Analyst
Cooper/Smith is currently seeking a Research & Data Analyst to dive into our projects and datasets, test theories and methods, and generate yet-undiscovered insights for program managers, policymakers, and funders. This role will be dynamic, focusing on addressing priority research questions and testing relationships across disparate data sources and systems.
Duration: This is a full-time, long-term, exempt position.
Location: Flexible; Remote.
Who We Are
- A dynamic team with extensive experience in strategic planning, results management, efficiency analysis, modeling, operational research, and digital health.
- Innovators, solutions specialists, champions of collaboration, and global citizens with professional experience in over 35 countries.
- Lovers of hard work, good laughs, and passionate about delivering solutions and results with broader social value.
What We Offer
- Flexible work hours and a fully remote work environment.
- A benefits package exceeding industry standards, including unlimited paid time off.
- Competitive salary commensurate with skills and experience.
- Opportunity to contribute to a growing organization.
- Opportunity to work with a talented, energetic team of development professionals passionate about sustainable results.
Who You Are
- A curious thinker who is self-motivated and results-oriented, can deliver on tight deadlines and is motivated by the opportunity to help grow a young organization.
- A person who enjoys a challenge, can describe nuance and complexity and is ultimately driven to produce creative solute
- Someone who seeks to frame their work in the big picture [the 'why?'], but equally attends to the details in getting there [the 'how?'].
- Someone passionate about the use of measurement and data to improve management, performance, and program effectiveness.
- Someone who thrives in a flexible work environment; can manage competing demands and adapt to shifting priorities; uses sound judgment in stressful situations; and enjoys working with a diverse, global team.
- Design and apply the latest data science methods and instruments to develop
- contextually appropriate tools for research and analysis.
- Help strengthen the capacity of host government counterparts, particularly in data
- management, data visualization, and analytic methods.
- Work with developers and health experts to build decision support tools and dashboards
- that will employ new information to improve patient care.
- Employ user-centered design principles to collect requirements and develop custom
- visualizations for a target audience (e.g., decision support tools for health care workers).
- Employ novel network analysis methods to segment populations and triangulate
- disparate data sources to improve global development outcomes.
- Conduct geospatial analytics to identify areas to target program implementation and intervention.
- Conduct rapid analyses of small and large datasets with limited oversight.
- Conduct economic evaluations as needed (e.g., cost-effectiveness analysis, cost impact analysis).
- Investigate new tools and software solutions to address specific technical requirements.
- Generate visualizations for reports, web, and conference proceedings.
- Review scientific literature to support analysis plans and contribute to operational research design and analysis.
- Support the preparation of peer-reviewed publications, white papers, and articles.
- Document methods and findings and work with Cooper/Smith’s team to identify externally the best channels to share.
- On occasion, participate in technical working groups and assist with preparing technical
- materials and proposals.
- Support other activities and tasks, as requested.
- Experience working with multidisciplinary teams in international settings.
- Exceptional organizational and prioritization skills.
- Strong verbal and written communication skills.
- Familiarity with commonly encountered organizations in the international development sector
- [donors, multilateral, consulting firms, etc.].
- Intermediate to advanced skills with Microsoft Excel; proficient in other Microsoft products
- [Word, PowerPoint, OneNote, Sites] and Google Suite (Sheets, Docs, Slides, etc.).
- Basic knowledge of disease burden and response efforts in economically developing countries [e.g., programs designed to address HIV, TB, malaria, water, and sanitation, etc.].
- Solid understanding of research design, including hypothesis testing and quantifying
- Demonstrated aptitude with diverse quantitative methods, including statistics, data mining, cluster analysis, machine learning, regression, and predictive modeling.
- Intermediate to advanced skills using one or more statistical software packages for data
- analysis [Python, STATA, R, etc.].
- Above-average aptitude with a wide variety of data visualization methods and tools [e.g.,
- Tableau, 03.JS, etc.].
- Bachelor’s Degree in International Development, Public Health, or related field required.
- Master’s Degree in a related field preferred.
Eligible and interested candidates can submit their CV and expression of interest to firstname.lastname@example.org. Please include the position description in the subject line. Applications will be reviewed on a rolling basis.