Senior Analyst

QS Quacquarelli Symonds

. Own complex analytics and reporting initiatives across their full lifecycle .

Posted 11/5/2026full-timeKuala Lumpur • MalaysiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and reporting, with strong capabilities in SQL, Power BI, and HubSpot. Proven ability to manage complex projects, engage stakeholders, and ensure data quality and governance.

Highest-signal resume keywords

SQL ProficiencyPower BI DevelopmentHubSpot KnowledgeData Governance UnderstandingAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPower BITableauData ModellingStatistical AnalysisAnalytical Modelling with R or PythonData Quality AssuranceReporting Standards DefinitionCloud Data WarehousingData Governance

Soft Skills

Analytical ThinkingCommunication SkillsCollaborationTime ManagementProblem-Solving

Tools & Technologies

HubSpotSnowflakeBI Reporting ApplicationsAI Tools in Analytics

Industry Keywords

Data AnalyticsBusiness IntelligenceStakeholder EngagementData QualityReporting Solutions

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Own complex analytics and reporting initiatives across their full lifecycle
Manage dependencies, risks, stakeholder expectations and delivery quality
Lead discovery with internal stakeholders and external clients to identify business outcomes and success measures
Present insights, recommendations and reporting solutions to technical and non-technical audiences
Build trusted relationships with clients and client-facing teams
Use statistical and analytical techniques to identify trends and patterns and convert findings into recommendations
Define and promote standardised metrics, methodologies, models and documentation
Review approaches, share knowledge, challenge assumptions and identify improvements with peer analysts
Provide technical guidance, peer review and coaching to other analysts
Develop working knowledge of HubSpot and connect its data to analytics and business processes
Validate reporting logic, investigate data issues and improve HubSpot-derived analytics
Write and optimise SQL for scalable analysis and reporting using version control and peer review
Design, develop and maintain governed, performant Power BI solutions
Test, document and monitor data models and reporting products
Investigate and resolve data quality, reconciliation and reporting issues
Recommend improvements to data acquisition, modelling, governance and analysis
Promote self-service analytics and help stakeholders understand metrics, assumptions and limitations
Benchmark performance and trends against targets and provide commentary on changes, risks and opportunities
Maintain specifications, data definitions, methodology notes, decision logs and user guidance
Support cross-functional priorities and ad-hoc analysis while protecting committed work quality

Requirements

What you’ll need

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
Ability to work autonomously, exercise sound judgement, manage competing priorities and remain accountable for outcomes
Strong analytical skills and close attention to accuracy and materiality
Advanced experience designing, developing and presenting data in Power BI, Tableau or other BI reporting applications
Strong SQL capability and experience modelling data for scalable, maintainable and reproducible reporting
Broad working knowledge of HubSpot, including data models, standard and custom objects, relationships, reporting and workflows
Experience engaging directly with clients or external stakeholders on reporting, requirements, findings or delivery
Excellent written, verbal and presentation skills
Ability to elicit and challenge requirements constructively, frame ambiguous business questions and agree validation methods
Experience defining or applying shared reporting standards, metric definitions, quality controls and documentation
Collaborative approach to peer review, knowledge sharing and collective problem-solving
Experience guiding or mentoring junior analysts
Experience with cloud data warehouses such as Snowflake and relational database environments
Understanding of data governance and security, including row-level security, access controls, privacy and controlled external data sharing
Experience identifying and resolving data quality issues across source systems, transformation layers and reporting outputs
Practical use of AI tools in analytics workflows, with ability to validate, challenge and document outputs
Experience using R or Python for analytical modelling, automation or advanced analysis is desirable
Highly developed critical thinking and problem-solving skills
Experience working effectively in a small, high-impact team with tight deadlines and changing priorities
Excellent time management and organisational skills

Benefits

Comp & perks

Competitive base salary
Access to an annual bonus scheme (for qualifying roles only)
20 days annual leave, plus public holidays
Generous maternity and paternity leave
Access to an Employee Assistance Programme (EAP) and MiCare health
A vibrant social environment and multicultural and multinational culture
Free subscription to the Calm App
Global wellness team and mental health first aiders globally
Diversity and inclusion initiatives and groups
Recognition and reward programs, including peer-to-peer recognition, quarterly and annual QS Applaud Awards, and Connect with your Career annual PD event
Support for volunteering and study leave
Free subscription to LinkedIn Learning
Options to join the global Mentorship programme
Brand new breakout and relaxing spaces in office