TL;DR

Senior Data Analyst (Edtech): Building robust, scalable data products to be strategic partner to the business with an accent on designing data solutions that are reliable and reusable. Focus on proactively identifying opportunities to improve how data is consumed, governed, and operationalized.

Location: Remote / Flexible (we are open to candidates being based in the UK, or in Europe (+/- 3 hours GMT))

Company

%hirify_global% is an education technology platform that connects the best teachers on the planet with the students who need them the most - wherever they are, whatever their means.

What you will do

Partner closely with business and leadership stakeholders to understand objectives and long-term priorities.
Lead the design and development of robust data products such as standardized dashboards, metric layers, and analytical models.
Define and document core metrics, KPIs, and data definitions to ensure consistency and trust across teams.
Balance short-term business needs with a long-term analytics vision, reducing one-off analyses and technical debt.
Proactively identify opportunities to improve how data is consumed, governed, and operationalized.

Requirements

Strong experience in data analytics, business intelligence, or a related field.
Strong ability to translate business problems into scalable analytical solutions.
Advanced proficiency in SQL and experience with both standardized clean datasets and unstructured imperfect raw data.
Experience building and maintaining dashboards, semantic layers and analytical products.
Strong data storytelling and communication skills, including presenting trade-offs and recommendations.
Comfort operating in ambiguous environments and pushing back constructively when needed.

Culture & Benefits

The chance to make a real impact: your work directly shapes the future of education.
A fast-paced and high-growth environment where ideas move quickly and careers accelerate.
A collaborative, supportive culture: we’re head quartered in the UK, but we’re a global team with colleagues in 15+ countries, bringing a rich mix of perspectives and energy.

Hiring process

CV Screening: We review applications to understand your experience in data analytics, stakeholder partnership, and building durable analytical solutions.
Screening Call: A short conversation to get to know each other better.
Technical & analytical interview combined with scenario-based interview: A practical discussion covering SQL, analytical problem-solving, and how you structure analyses.