Senior Data Analyst

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QS Quacquarelli Symonds

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1990

📚 Education

Education

QS Quacquarelli Symonds is a global leader in higher education performance and insights, offering solutions in student recruitment, reputation management, and employability. The company partners with universities, business schools, and governments worldwide to enhance institutional goals and performance. With a significant focus on digital innovation and sustainability, QS provides data-driven tools and advisory services to help institutions understand and amplify their reach and impact. QS is renowned for its world university rankings and extensive expertise in the higher education sector.

📋 Description

• 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.

🎯 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.

🏖️ 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