[Hiring] Data Analyst @Qs
Mar 24, 2025 - Qs is hiring a remote Data Analyst. đź’¸ Salary: unspecified. đź“ŤLocation: Latin America (LATAM).
Data Analyst
Location: Latin America / Ecuador
Job type: Contractor Full time
Flexible working arrangements: Remote/Hybrid
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 thriving 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) – recognition of the respect, trust and appreciation that drive our culture every day.
The role
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.
Role responsibilities:
· Analyze, clean, and organize datasets to identify trends and deliver actionable insights that support the ML team and other stakeholders.
· Create and maintain dashboards, reports, and visualizations using Tableau, Power BI, or Looker, enabling self-service analytics for business teams.
· Transform complex datasets into clear, actionable visual insights, using best practices in data storytelling to support strategic initiatives.
· Collaborate with cross-functional teams to understand data needs and translate them into clear analyses and reports.
· Perform data wrangling and basic ETL tasks, ensuring data is accurate, reliable, and ready for analysis.
· Utilize SQL (PostgreSQL, BigQuery SQL) and Python for querying, data manipulation, and ad-hoc analysis.
· Ensure data quality standards and document processes, maintaining well-organized datasets for analytical use.
· Monitor and troubleshoot data-related issues to ensure consistent and timely delivery of data and reports.
· Stay informed about BI tool enhancements and data visualization best practices to continuously improve reporting and insights.
Key skills and experience:
· Strong expertise in SQL (PostgreSQL and BigQuery) for querying and data analysis.
· Hands-on experience with BI tools such as Tableau, Power BI, or Looker to create dashboards and reports.
· Experience with Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage. Familiarity with Compute Engine or Vertex AI Notebooks is a nice-to-have.
· Familiarity with basic ETL processes and data cleaning techniques to prepare datasets for analysis.
· Basic Python skills for data manipulation (using libraries like Pandas, NumPy) and supporting the ML team with data preparation.
· Understanding of data quality standards, with a focus on accuracy, completeness, and consistency.
· Experience in documenting data processes and analysis to ensure knowledge sharing and reproducibility.
· Strong analytical skills with the ability to interpret complex data and communicate findings to both technical and non-technical audiences.
· Curiosity and willingness to continuously learn new tools and methods to improve data analysis and visualization.
So, who are we and what do we do?
QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success.
We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures.
Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education.
Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London.
With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education?
We take investing in our people very seriously.
Outside of the standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset:
- Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
- A focus on welfare which is led by our global wellness team, with mental health first aiders globally
- Access to a variety of diversity and inclusion initiatives and groups
- Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
- Support for volunteering and study leave
- Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
- Options to join our outstanding global Mentorship programme
Like what you’ve heard? Great, apply now!
As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.
Equal opportunities
QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive.
Please keep an eye on your spam / junk email folder for correspondence from BambooHR
Similar Remote Jobs
More jobs at Qs
More Data Analysis jobs
-
Data Analysis $70,000 - $85,000 plus bonus USAApr 02, 2025
-
Data Analysis 8,800.00 – 10,400.00 usd per year USAApr 02, 2025
-
Data Analysis $170,000 - $200,000 USAApr 02, 2025
More jobs in Latin America (LATAM)
-
All others unspecified Northern America, Americas, Latin America (LATAM) +5 moreApr 02, 2025
-
All others unspecified Latin America (LATAM)Apr 02, 2025
-
All others unspecified Latin America (LATAM), USAApr 02, 2025
Kickstart Your Job Search
Unlock 54,645 additional remote jobs, advanced search & email notifications
Too many emails? Declutter your inbox with Meco
Your home for reading newsletters
| đź“Ť | Be aware of the location restriction for this remote position: Latin America (LATAM) |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
đź’¸
unspecified
|
Remote
Location
Latin America (LATAM)
|
|
Job Type
contract
|
Posted
Mar 24, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: Latin America (LATAM) |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
