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Senior Data Analyst
Location:
Arlington, VA
Description:
About Fraym Fraym generates precise data about what people look like, what they think, and how they behave at any geographic level, including down to the town or village level. Organizations around the world use our location-based data to understand social and economic dynamics, design comprehensive programs, and monitor and evaluate investments that national statistics and polling data cannot reveal. Fraym has developed replicable and highly scalable methods for producing actionable and comparable data across any geography of interest. Driven by our work with partners like the Bill and Melinda Gates Foundation, World Bank, African Development Bank, UNDP, and other global institutions, we now produce and deliver critical novel datasets for key policy and advocacy issues. These span categories such as equitable COVID-19 vaccine allocation, inclusive renewable energy access, inclusive economic recovery, and combating misinformation. Summary of Position Fraym is seeking a Senior Data Analyst to play a vital role in the mission of supporting decision-making for our public sector national security customers.Our National Security Program is a fast-paced, exponentially growing portfolio providing actionable insights to some of our nation’s problems. As part of this team, you will deliver tailored insights, craft impactful visualizations and stories from data, and collaborate across teams to generate or improve methodologies. The role is poised for significant career growth via the technical or the managerial track.For success in this position, you will have a strong quantitative background, an ambitious mindset, and enthusiasm for team collaboration.Preference will be given to applicants with a U.S. security clearance, experience in the national security sector, experience working with statistical packages (Stata and/or R), language skills and/or knowledge of geospatial analysis. This is a remote work position with the option to work from our office in Arlington VA. Your responsibilities in this role include, but are not limited to: Applying data, communication, and inquiry skills to frame and address use cases in support of customized engagements for the United States national security sector. Preparing analytical products, including presentations, briefings, and other materials. Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations. Working with different types of datasets (large household surveys, conflict data, and attitudinal data) to expand, deepen, and refine the Fraym data platform. In addition to the national security analytics products, you will work with the broader Analytics team on projects across our international development and commercial sectors. The candidate must have the following qualifications and skills: 5+ years experience using R, Python, or Stata for descriptive and econometric analysis of micro-data. 5+ years experience applying quantitative methods for analysis (may include school projects). U.S. citizenship The successful candidate will have the following qualifications and skills: Bachelor’s or master’s degree in a related field, such as economics, statistics, strategic studies, geography, geospatial information science (GIS) or public policy. 5+ years experience in statistical methods, econometrics, and/or geospatial analysis. 5+ years experience using PowerPoint, R, ArcGIS/QGIS (or other geospatial data platforms), Python, machine learning, or other software skills. Familiarity with survey data (e.g., survey design, collection, processing) and use within predictive models. Demonstrated ability to draw insights from data for technical and non-technical audiences. Familiarity and interest in an array of national security issues (e.g., global power competition, extremist violence, and humanitarian operations). 2+ years experience overseeing and managing the coordination and completion of projects. Ability to advance discrete projects both independently and in coordination with others. Excellent communication skills – written and verbal. Strong interpersonal skills, including collaboration with a team and ability to interact with senior executives. Demonstrated strong organizational skills and attention to detail. Eager to learn; bring creativity, confidence, and a solution-driven attitude to problem-solving. Foreign language skills are desirable, particularly Mandarin, Russian, Arabic, and other Asian languages. Active TS/SCI security clearance is desirable. Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.Fraym offers a competitive salary commensurate with experience, a full benefit package, dedication to professional development, and a flexible work environment.Please submit a resume, cover letter, and sample quantitative research project (security related is preferred, but not required; can be a school project) using this link.For any questions, please contact XXXX@fraym.io.Not sure you tick all the boxes? We encourage you to apply. We have a learning culture, and if this job description sounds exciting, we’d love to hear from you.Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.Powered by JazzHR
Company:
Fraym
Posted:
February 1 on The Resumator
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Senior Data Analyst is a Jobs Data Analyst Job at Fraym located in Arlington VA. Find other listings like Senior Data Analyst by searching Oodle for Jobs Data Analyst Jobs.
Senior Data Analyst is a Jobs Data Analyst Job at Fraym located in Arlington VA. Find other listings like Senior Data Analyst by searching Oodle for Jobs Data Analyst Jobs.