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Data Analyst for Engendering Industries Project - US based remote
Pay$80000.00 - $110000.00 / year
LocationWinooski/Vermont
Employment typeFull-Time
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Job Description
- Req#: 18800001376
Employer Industry: International Development
Why consider this job opportunity:
- Salary up to $110,000 annually
- Comprehensive benefits package including medical, dental, and vision insurance, 401k retirement plan, and Employee Stock Purchase Plan
- Opportunity to work fully remote or hybrid from specific office locations
- Engage in meaningful work that supports gender equality and social inclusion initiatives
- Collaborative and inclusive work environment focused on diversity, equity, and inclusion
What to Expect (Job Responsibilities):
- Lead the design and management of program and partner-level databases, dashboards, and MEL systems
- Develop comprehensive data modeling and reports to benchmark progress and assess partner performance
- Apply statistical methods to measure development outcomes and monitor trends in key performance indicators
- Manage the entire database analysis pipeline from problem definition to crafting actionable recommendations
- Support research efforts to develop knowledge-sharing products on gender equality and performance indicators
What is Required (Qualifications):
- Master's degree with 5 years of relevant experience in data analytics, data science, GIS, or related field; or bachelor's degree with 7 years of experience
- Minimum 2 years of professional experience handling complex data sets and familiarity with SQL and relational data management
- At least 2 years of experience with data visualization software (R Shiny, Power BI, or Tableau)
- Proficiency in advanced statistical techniques and programming languages such as R or Python
- Current US work authorization required at the time of application
How to Stand Out (Preferred Qualifications):
- Experience with causal inference using observational data and quasi-experimental settings
- Knowledge of USAID MEL best practices and data governance principles
- Hands-on experience with AI and machine learning data mining or predictive modeling
#InternationalDevelopment #DataAnalysis #GenderEquality #RemoteWork #DiversityAndInclusion
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