DATA ANALYST
About
The position calls for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages such as Python and R. The individual must then quality control results to ensure that other team members have exactly what they need to incorporate the data and results into their own components of the analytic process, presentations, and papers. Additionally, this position will work alongside other Data Analysts on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Analyst will be a critical member of an agile, dynamic research team. This position is contingent upon project funding availability. Responsibilities Research command Become familiar with substantive areas of expertise to understand the dimensions and uses of cancer registry, vital registration, and verbal autopsy data and the analytic underpinnings of different research streams. Work directly with researchers to identify the source of data used in models and results, understand the context of the data, and ensure that they are relevant to the analyses themselves. Create and document efficient, effective, and replicable methods for extracting data, developing code, organizing data sources, managing data quality, and explaining complex analytic processes. Data management and analytics Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies. Implement code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess new methods. Maintain, update, and adapt databases containing health data from multiple sources. Maintain, update, and carry out routine but complex computational processes and statistical modeling that are central to generating estimates of key indicators. Execute queries on databases and resolve intricate questions in order to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders. Bring together data, analytic engines, and data visualizations in one seamless computational process. Use protocols to identify problems with datasets and routine computational processes, rectify issues, and systematize data for future analyses. Transform and format datasets for use in ongoing analyses. Catalog and incorporate these datasets into databases. Perform quality checks. General Create tables, figures, and charts for presentations and publications. Provide referencing and other support for publications and presentations. Communicate clearly and effectively while contributing as a member of the Institute. Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and help resolve emerging problems on different projects. Participate in overall community of the Institute, carrying out duties as required as team members with other Institute members. As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. REQUIREMENTS Bachelor’s degree in social sciences, engineering, computer science, or related field plus two years’ related experience, or equivalent combination of education and experience. Additional Requirements: Interest in global health, population health, and/or ways in which quantitative research and data science can be used to create valuable global public goods. Demonstrated success in developing code in R or Python. Demonstrated self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative and entrepreneurial environment. Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way. Adept diplomacy and exemplary interpersonal skills critical. Must be agile at forming respectful and rewarding relationships with people with different levels of experience and expertise from a variety of cultural, linguistic, and professional settings. Strong organizational skills and the ability to successfully manage multiple tasks and priorities to meet established and changing deadlines. Strong quantitative aptitude. A commitment to working to alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive. See IHME’s DEI statement here: http://www.healthdata.org/get-involved/careers/dei.
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