Senior Data Analyst

Posted 9 Days Ago
Be an Early Applicant
Hiring Remotely in Quito, ECU
In-Office or Remote
Senior level
Professional Services • Real Estate • Consulting
The Role
Lead data analysis, clean and transform datasets, build dashboards and visualizations (Power BI), perform SQL and Python-based analyses, support ML workflows, ensure data quality, document processes, troubleshoot data issues, and deliver actionable insights to stakeholders across the organization.
Summary Generated by Built In

Role: Senior Data Analyst

Location: Ecuador / Any LATAM Country

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 success of millions of students worldwide.

Role responsibilities

  • Analyse, clean, and organize datasets to identify trends and deliver actionable insights that support teams across QS.
  • Create and maintain dashboards, reports, and visualizations using Power BI, 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 Power BI to create dashboards and reports.
  • Strong experience with cloud data warehouse platforms such as BigQuery or Snowflake
  • 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.

Please note, if you don't meet all the criteria but believe you have the skills and passion to thrive in this role, we encourage you to apply.

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. 

 

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Skills Required

  • Strong expertise in SQL (PostgreSQL and BigQuery) for querying and analysis.
  • Hands-on experience creating dashboards and reports using Power BI.
  • Experience with cloud data warehouse platforms (BigQuery or Snowflake).
  • Familiarity with basic ETL processes, data cleaning, and data wrangling.
  • Basic Python skills for data manipulation (Pandas, NumPy).
  • Understanding of data quality standards (accuracy, completeness, consistency).
  • Experience documenting data processes and analyses for reproducibility.
  • Strong analytical skills with ability to communicate findings to technical and non-technical audiences.
  • Curiosity and willingness to learn new tools and methods to improve analysis and visualization.
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The Company
1,268 Employees
Year Founded: 1990

What We Do

The QS Company is an independent chartered quantity surveying company specializing in the commercial management of construction projects. Their mission is to help property developers minimize risk and maximize investment returns by proactively managing construction costs, contractual relationships, and inherent risks at every stage of the project life cycle, ensuring that the financial position of each project is accurately reported and effectively controlled.

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