Education Data Analyst $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
This role is for those who believe education must operate with greater speed, precision, and accountability.
At 2 Hour Learning, we condense what conventional schools distribute over a full day into concentrated, high-leverage learning sessions. Success depends on academic decisions that are accurate, prompt, and fully owned. This position exists to deliver that: transform complex student data into actionable clarity, then pair it with direct, trust-based student coaching that eliminates obstacles quickly.
You will operate where analytical rigor meets human engagement. In one instance, you're examining performance metrics to identify risk signals early and support placement decisions with sound rationale. In the next, you're working directly with a student, diagnosing misunderstanding on the spot and ensuring progress before minor issues escalate into significant setbacks. This is not about passive data collection. You own the outcomes.
This position suits individuals who want immediate visibility into the results of their decisions. If you excel with responsibility, value direct student engagement, and find purpose in enabling students to learn twice as efficiently through better judgment, this environment will fit you.
Consider applying if you want your contributions to register within days, not months.
What you will be doing
- Examine student performance metrics to generate precise, actionable academic insights that enable prompt interventions
- Take full ownership of academic results for a designated student cohort, covering placement decisions, assessment strategies, and follow-through
- Deliver focused academic intervention sessions that uncover underlying causes and eliminate learning obstacles immediately
- Lead post-assessment coaching conversations to distinguish conceptual gaps from avoidable errors and prescribe focused corrective steps
- Partner with academic leadership and parent support teams to flag emerging risks and refine operational tools or workflows
What you will NOT be doing
- Producing reports that sit unused
- Operating solely in the background without direct student contact
- Delegating academic responsibility to instructors, tutors, or families
- Conducting unfocused tutoring sessions lacking clear diagnostic intent
- Delaying response to student challenges by weeks
Key responsibilities
Provide precise, timely academic analysis and direct student interventions that demonstrably improve learning outcomes for assigned student cohorts.
Candidate requirements
- At least 1 year in a coaching, instructional, or training role with a documented outcome or feedback
- At least 1 year of hands-on experience working closely with K–8 students (occasional tutoring does not qualify)
- Demonstrated experience in data science, education, EdTech, or student support roles combining analysis and interpersonal work
- Fluent spoken and written communication in Ukrainian and English
- Strong proficiency in Google Sheets, including lookups, filters, pivot tables, and charts
- High emotional intelligence with the ability to build trust quickly with students and parents
- Proven use of AI to analyze data or automate workflows with measurable efficiency gains
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.