Data Analyst

March 5

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Transfr

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Transfr is a company dedicated to bridging the gap between education and employment by using immersive VR training technologies. Its mission is to equip individuals with the necessary skills for well-paying careers in high-demand fields across various industries such as Automotive, Aviation, Construction, Diesel Technology, Health Sciences, and more. By partnering with schools, businesses, and governments, Transfr provides accessible career exploration and hands-on training, enabling upward mobility and job security for learners. The company's approach not only fosters career development but also targets socioeconomic improvement, particularly in impoverished areas, by training future talent for high-growth industries worldwide.

Virtual Reality • Workforce Development • Software Development • Job Training • Education

51 - 200 employees

📚 Education

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Transfr is on a mission to help create pathways to career success. • Our immersive career exploration and training simulations empower learners and job seekers of all ages find the right job for them and build the skills they need to enter (or reenter) the workforce or change careers. • Immersive VR experiences from Transfr have been shown in studies to deliver better learning gains than video tutorials, slide presentations, and other training methods. • Learners find Transfr experiences highly engaging and enjoyable. • At Transfr, we believe the future starts with innovative workplace training and skills development. • We’re building bridges between schools, workplaces, and governments to help improve training and job placement pipelines. • The Intelligence team at Transfr is looking for a highly motivated Data Analyst/Scientist who is passionate about education.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. • 2-3 years of industry and/or research experience in data analysis and statistical modeling. • Proficiency in data processing, data mining, and data visualization. • Experience working with educational data is a plus. • Strong understanding of data structures, data representation, and data governance principles. • Fluency in SQL and relational databases. • Expertise in probabilistic models, applied linear and multilevel models, diagnostics and sensitivity analyses, multivariate analysis, predictive modeling, segmentation, and time series forecasting. • Proficiency in statistical programming languages such as R or Python. • Strong problem-solving skills with a proactive and adaptive learning mindset. • Ability to work independently in a remote setting while contributing to a collaborative and dispersed team. • Excellent communication, time management, and multitasking skills.

🏖️ Benefits

• stock options • 401(k) • paid vacation and sick time • medical/dental/vision insurance