Senior Analyst
at QS Quacquarelli Symonds, Kuala Lumpur, United Kingdom
Listed on EduAtlas: live school vacancies from schools’ own careers pages and public job services. Apply on qs.bamboohr.com.
- Salary
- Not given in the advert
- Closing date
- Open until filled
- Start
- Not given in the advert
- Type of post
- Administration and business
A support post, not a teaching post. - First seen
- 9 November 2026, on a public job listing
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The advert
Role: Senior Analyst
Location: Kuala Lumpur, Malaysia
Job type: Full time, permanent – hybrid
This position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week.
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 commitment to people development is recognised globally: QS is a Gold-accredited Investors in People organisation, placing us among the top 28% of workplaces worldwide. 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.
As a Senior Analyst, this is what you’ll be doing:
The Senior Analyst at QS owns complex analytics and reporting outcomes from end to end. You will lead work from problem framing and requirements discovery through data modelling, analysis, validation, delivery, adoption and ongoing improvement, remaining accountable for the quality, usefulness and business impact of the solution.
Working with internal stakeholders and external clients, you will translate between technical detail and business priorities. You will confidently lead discovery and reporting conversations, challenge assumptions constructively, explain analytical choices clearly and turn complex findings into practical recommendations for audiences at different levels of technical fluency.
The scope is deliberately broad: ad-hoc analysis, dependable recurring and client-facing reporting, improvements to reporting pipelines, Hub Spot data and reporting, and strategic projects that raise the capability of decision intelligence and the wider Data & Analytics function. You will help maintain a lean, trusted reporting suite by improving, consolidating or retiring products when appropriate.
As a senior individual contributor, you will operate with a high degree of autonomy while collaborating closely with peer analysts and wider stakeholders. You will help define and uphold common QS standards for analytics and client reporting, share knowledge, provide constructive peer challenge and collectively identify opportunities to improve how the team works.
Role responsibilities:
• Own complex analytics and reporting initiatives across their full lifecycle, including problem definition, scoping, prioritisation, requirements, data preparation, modelling, analysis, testing, delivery, documentation, adoption, monitoring and continuous improvement.
• Act as the accountable analytical lead for assigned work, managing dependencies, risks, stakeholder expectations and delivery quality, and escalating early when outcomes or timelines are at risk.
• Lead discovery with internal stakeholders and external clients to identify the decision or business outcome behind a request, agree success measures and recommend the most appropriate analytical approach rather than taking reporting requests at face value.
• Present insights, recommendations and reporting solutions to technical and non-technical audiences, adapting the level of detail and communication style to the audience.
• Build trusted relationships with clients and client-facing teams, supporting reporting discussions, explaining methodologies and limitations, and responding professionally to questions or challenge.
• Use statistical and analytical techniques to identify, analyse and interpret trends and patterns in new and existing datasets, converting findings into clear recommendations and actions.
• Define and promote standardised metrics, methodologies, models and documentation so that internal and client reporting is consistent, accurate, explainable and aligned with QS standards.
• Work collectively with peer analysts to review approaches, share knowledge, challenge assumptions and identify improvements to analytical quality, delivery practices and team standards.
• Provide technical guidance, peer review and coaching to other analysts, helping to strengthen analytical judgement, reproducibility, communication and ownership across the team.
• Develop a broad working knowledge of Hub Spot, including its core data model, objects and relationships, reporting, workflows and the downstream use of Hub Spot data in analytics and business processes.
• Partner with operational and technical stakeholders to validate reporting logic, investigate data issues and improve the accuracy and usefulness of Hub Spot-derived analytics.
• Write and optimise SQL to extract, transform and model data for scalable analysis and reporting, using version control and peer review so analytical code is reproducible, testable and safe to change.
• Design, develop and maintain Power BI solutions that are usable, performant, appropriately governed and suitable for internal or external audiences.
• Test, document and monitor data models and reporting products, including automated or repeatable quality checks that surface breakages before stakeholders or clients identify them.
• Investigate and resolve the root causes of data quality, reconciliation and reporting issues, coordinating action across relevant teams where ownership is shared.
• Make recommendations on how QS obtains, models, governs and analyses data to improve accuracy, efficiency, scalability and maintainability.
• Promote self-service analytics by enabling stakeholders to interpret reports correctly and understand the underlying metrics, assumptions and limitations.
• Benchmark performance and trends against agreed targets and provide clear commentary on material changes, risks and opportunities.
• Maintain clear specifications, data definitions, methodology notes, decision logs and user guidance for analytical and reporting solutions.
• Support cross-functional priorities and ad-hoc analysis while making transparent trade-offs and protecting the quality of committed work.
• Undertake other duties that reasonably support the objectives of the Data & Analytics function.
Key skills and experience:
• BS in Mathematics, Economics, Computer Science, Information Management, Statistics or a closely related field, or equivalent demonstrable experience.
• Experience in a Data/BI Analyst, Analytics Engineering, Data Science or comparable analytics role, including ownership of complex reporting or analytical work from discovery through adoption and support.