Senior Data Analyst

QS Quacquarelli Symonds

12d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• Familiarity with data engineering concepts
• Understanding of machine learning workflows

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed