Data Analyst

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Fraym uses advanced machine-learning to generate localized insights on communities around the globe. Our location-based data about population characteristics and behaviors is employed by governments and organizations tackling some of the world's most pressing challenges like inequity and insecurity, climate vulnerability, public health, access to critical services, and more. Data created by our proprietary algorithms provides local-level insight on livelihoods, demographics, attitudes, behaviors, health, and public service access. This advanced geospatial data and analysis is available for 100+ countries at one square kilometer resolution—even in remote areas.

Summary of Position

Fraym is seeking several data analysts to play a vital role in the mission of supporting decision-making. As part of the Fraym Analytics 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.

For success in this position, you will have a strong quantitative background, experience working with statistical packages (Stata or R), an ambitious mindset, and enthusiasm for connecting with Fraym’s global team. Preference will be given to applicants with knowledge of geospatial analysis, household survey analysis, language skills, and/or experience in emerging economies.

Your responsibilities in this role include, but are not limited to, the following:

• Working with large household survey datasets to expand, deepen, and refine the Fraym data platform.
• Applying data, communication, and inquiry skills to frame and address use cases in support of customized engagements for government agencies, development organizations, and commercial enterprises.
• 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.

The candidate must have the following qualifications and skills:

• Essential software skills: Stata or R for descriptive and econometric analysis of micro-data from household surveys. R, ArcGIS, or QGIS for geospatial analysis. 
• Experience applying quantitative methods for analysis. (May include school projects.)

The successful candidate will have the following qualifications and skills:

• Bachelor’s or master’s degree in a related field, such as economics, statistics, international development, or public policy.
• Training in statistical methods, econometrics, and/or geospatial analysis.
• Understanding how to draw insights from data for technical and non-technical audiences. 
• Excellent communication and writing skills.
• Eager to learn; bring creativity, confidence, and a can-do attitude to problem-solving.
• Ability to advance discrete projects both independently and in coordination with others.
• Good attention to detail.
• Language skills preferred.
• Experience and interest in emerging markets.
• Strong interpersonal skills, including collaboration with a team and the ability to interact with senior executives.
• PowerPoint, Python, machine learning or other software skills are a definite plus.