Data Analyst
Senior Data Analyst responsible for extracting, cleaning, and analyzing large datasets to inform higher‑education strategy. Utilizes Python, SQL, and Tableau to build dashboards, perform statistical analysis, and deliver actionable insights to stakeholders.
Role: Senior Data Analyst
Location: Ecuador
Job type: Full time, Contractor – Remote
Why QS?
At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other.
It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives.
Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector.
At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector.
We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation – putting us among the top 28% of workplaces globally – it’s official: QS is a place where everyone can thrive.
As a Senior Data Analyst, this is what you’ll be doing:
We are seeking a skilled Data Analyst to join our team. This role focuses on uncovering insights and providing data driven recommendations that support key business decisions.
As a Data Analyst, you will work closely with cross-functional teams, including our Machine Learning department, to understand business needs, analyze complex datasets, and deliver clear, actionable insights. While your primary responsibility will be data analysis, familiarity with data engineering concepts and an understanding of machine learning workflows will be valuable as you collaborate with technical teams to support model development and deployment.
You’ll design and develop intuitive dashboards, reports, and visualizations that empower stakeholders to make informed decisions. Your role will also involve performing in-depth data analysis, identifying trends and patterns, and delivering recommendations that drive strategic initiatives.
You will contribute to continuous improvement of data processes and structures that support analytics and machine learning initiatives. We are particularly looking for someone who is genuinely passionate about data. Someone curious, proactive, and eager to explore beyond predefined questions. This role offers the opportunity to investigate new ideas, build innovative analyses, and shape how data is used across the organization. The insights generated by this work directly influence products and services that impact the wellbeing, opportunities, and
Posted June 24, 2026