10 of 10 Stata Jobs

or student affairs context. Proficient in Microsoft Excel, Tableau, Power BI, or similar data visualization tools. Experience with survey tools (e.g., Qualtrics, SurveyMonkey) and statistical software (e.g., SPSS, R, Stata). Strong analytical skills and attention to detail. Excellent written and oral communication skills, including the ability to translate complex data for diverse audiences. Demonstrated ability to work collaboratively More ❯

panel data methods, and causal inference techniques. Develop analytic frameworks linking facility usage to downstream outcomes (e.g., patents, publications, commercialization metrics). Data visualization and dashboarding using R, Python, Stata, or SAS to communicate evaluation findings to technical and executive audiences. Minimum Qualifications: Bachelor's degree in economics, statistics, public policy, data science, or a related field (or equivalent More ❯

related field. Experience in a higher education or non-profit setting is highly desirable. Analytical Skills: Demonstrated experience with quantitative and qualitative data analysis. Proficiency with statistical software (e.g., Stata, R, Python) and data visualization tools (e.g., Tableau) is a plus. Project Management: Outstanding organizational and project management skills with a proven ability to manage multiple projects simultaneously from More ❯

hospital information systems Desirable Experience of working in field of haematopoietic stem cell transplant/cell therapy Experience of staff management Working knowledge of statistical software e.g. SPSS or STATA or R Development of procedures and preparation of SOPs Skills Abilities/knowledge Essential Strong aptitude for using IT packages (especially spreadsheets, databases, PowerPoint and Digital Health Records), to More ❯

assessments or synchronization meetings Experience briefing senior officers (O-5 and above) and developing executive-level summaries in PowerPoint or equivalent Experience using statistical packages such as IBM SPSS, STATA, or R Demonstrated ability to develop or track MOEs and MOPs aligned to operational objectives Understanding of IRCs (MISO, MILDEC, OPSEC, Cyber, PA) and how data supports their planning More ❯

assessments or synchronization meetings Experience briefing senior officers (O-5 and above) and developing executive-level summaries in PowerPoint or equivalent Experience using statistical packages such as IBM SPSS, STATA, or R Demonstrated ability to develop or track MOEs and MOPs aligned to operational objectives Understanding of IRCs (MISO, MILDEC, OPSEC, Cyber, PA) and how data supports their planning More ❯

and develop algorithms to analyze data structures Generate queries and reports Use basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots) Utilize data analysis tools (e.g., Excel, STATA SAS, SPSS) Employ data mining and data warehousing principles Demonstrate knowledge of query languages such as SQL (structured query language) Conduct risk management processes (e.g., methods for assessing and More ❯

Skill in generating queries and reports. Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots). Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS). Knowledge of data mining and data warehousing principles. Knowledge of query languages such as SQL (structured query language). Knowledge of risk management processes (e.g., methods More ❯

Skill in generating queries and reports. Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots). Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS). Knowledge of data mining and data warehousing principles. Knowledge of query languages such as SQL (structured query language). Knowledge of risk management processes (e.g., methods More ❯

Skill in generating queries and reports. Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots). Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS). Knowledge of data mining and data warehousing principles. Knowledge of query languages such as SQL (structured query language). Knowledge of risk management processes (e.g., methods More ❯