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Data Analyst - Job Opportunity at Transfr

Remote, US
Full-time
Mid-level
Posted: March 4, 2025
Remote
USD 100,000-110,000 per year

Benefits

Comprehensive Health Insurance with Medical, Dental, and Vision coverage
401(k) Retirement Plan - indicates commitment to long-term employee financial wellbeing
Stock Options - suggests growth potential and employee ownership opportunity
Flexible PTO including paid vacation and sick time
Remote Work Flexibility - modern work arrangement supporting work-life balance

Key Responsibilities

Lead data-driven decision making through statistical analysis and predictive modeling to improve educational outcomes
Develop and implement advanced statistical models for analyzing user behavior patterns and learning effectiveness
Drive product enhancement through comprehensive data mining and analytical insights
Ensure data quality and compliance while managing multiple data collection channels
Collaborate cross-functionally to translate complex analyses into actionable business recommendations
Design and execute educational efficacy studies to validate learning methodologies

Requirements

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

Experience

2-3 years of industry and/or research experience

Required Skills

SQL and relational databases Statistical programming (R or Python) Probabilistic models Applied linear and multilevel models Diagnostics and sensitivity analyses Multivariate analysis Predictive modeling Segmentation Time series forecasting Data visualization Strong problem-solving skills Excellent communication skills Time management Multitasking abilities
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Sauge AI Market Intelligence

Industry Trends

The edtech sector is experiencing rapid growth with VR-based training becoming increasingly mainstream, particularly in vocational education and workforce development. This represents a significant opportunity for data analysts to shape the future of skills-based learning. There's a growing emphasis on measuring learning outcomes and ROI in educational technology, making data analysis crucial for product development and market adoption. The integration of AI and machine learning in educational analytics is creating new opportunities for sophisticated data analysis and predictive modeling in learning environments.

Salary Evaluation

The offered salary range of $100,000-110,000 is competitive for a mid-level data analyst role in the edtech sector, particularly for a remote position. However, total compensation including equity could push the package significantly higher given the company's growth stage.

Role Significance

Likely part of a small but growing intelligence team, typically 4-8 members in similar stage edtech companies, with cross-functional collaboration across product and engineering teams.
Mid-level individual contributor with significant potential for growth into senior analytical or team lead positions. The role involves substantial autonomy in analytical methodology and direct impact on product development.

Key Projects

Development of learning effectiveness measurement frameworks User behavior analysis and predictive modeling for learner success Educational outcome tracking and reporting systems Product feature impact analysis and optimization

Success Factors

Strong foundation in both educational theory and data science methodologies Ability to translate complex analytical findings into actionable product improvements Experience with learning analytics and educational data models Skills in building scalable data analysis frameworks

Market Demand

Very high demand with significant growth potential. The intersection of data analytics and educational technology represents a rapidly expanding niche, particularly as organizations increasingly focus on measurable learning outcomes and ROI in training investments.

Important Skills

Critical Skills

Statistical modeling expertise - essential for measuring learning effectiveness Educational data analysis experience - crucial for understanding learning patterns Programming proficiency - necessary for handling large-scale data processing

Beneficial Skills

VR/AR analytics knowledge Learning management system experience Educational psychology understanding Workforce development metrics knowledge

Unique Aspects

Focus on VR-based learning provides unique data analysis opportunities
Direct impact on workforce development and career outcomes
Combination of educational research and commercial product development

Career Growth

2-3 years typical progression to senior role, with potential for faster advancement given the company's growth stage and the strategic importance of data analytics.

Potential Next Roles

Senior Data Scientist Learning Analytics Manager Director of Educational Research Head of Data Science

Company Overview

Transfr

Transfr is a venture-backed edtech company focused on VR-based career training and skills development, positioning itself at the intersection of education technology and workforce development.

Emerging player in the VR education space with strong growth potential, particularly in the workforce development sector.
US-based with remote-first culture, indicating strong digital infrastructure and modern work practices.
Innovation-focused environment with emphasis on data-driven decision making and cross-functional collaboration. Strong mission-driven culture focused on educational access and workforce development.
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