Data Analyst

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia QS Quacquarelli Symonds Full time

About QS


QS is the world's leading provider of services, analytics, insights, and intelligence to the global higher education sector - supporting university excellence across the world.

Our student recruitment and enrolment solutions enable universities and business schools to connect with talented individuals seeking to further their academic progress and career development.

Our portfolio of professional services includes consultancy, student mobility and academic partnerships management, and branding solutions.

We publish highly visible and influential rankings of international universities, including the QS World University Rankings which reaches a global audience of hundreds of millions of people.


Founded in 1990, our activities span across 50 countries, working with over 2000 of the world's leading higher education institutions and over 12,000 employers.


Headquartered in London, QS has over 750 employees globally with offices in 14 different countries, including Australia, Malaysia, India, Romania, Singapore, France, Germany, and the USA.

QS keeps growing organically, through acquisition and by recruiting top talent across key regions.

What inspires us?


At QS, our culture fosters a flexible working environment that encourages our employees to own their career whilst personally and professionally thriving.

We collaborate, respect, and support each other - and as a company, our values underpin these.


Our mission is to empower motivated people around the world to fulfil their potential through higher education, and to ensure everyone has the same opportunity to achieve that potential.

We celebrate the diversity of our teams and believe through sharing our experiences we can learn from one another and become stronger together, which enables us to achieve our goal.


At QS, you'll be responsible for implementing real change in the international higher education landscape, full of exciting and interesting challenges where you can drive positive impact across the business.


In October 2023 we were thrilled to be included in Newsweek's Top 100 Most Loved Workplaces in the UK list which is compiled using employee sentiment and satisfaction data.


Using insights from more than two million employees in organisations with 50 to 100,000 members of staff, the list recognises workplaces where employees feel most respected and appreciated.


The role


Supporting operational teams with the development of ad-hoc reports, extracts and analyses, the Data Analyst will be responsible for processing and prioritising business as usual activity including but not limited to updates to existing reports and bug investigation, resolution, or escalation.


This role will be required to collaborate with internal stakeholders to understand their data requirements and analyse outcome, as necessary.

The Data Analyst will support reporting and BI development activities such as matching, formatting, mapping, and testing data.

Role responsibilities:

  • Identify, analyse, interpret trends, patterns in new and existing datasets to present insights.
  • Compile reports and provide insights to internal stakeholders to measure and improve business performance.
  • Develop adhoc reports, extracts, and analysis in a timely manner as part of the BI & Reporting BAU process.
  • Check and verify data and analyses to ensure accurate reporting.
  • Investigate, Identify, resolve data or reporting issues or where necessary escalate to data owners or report developers to ensure data integrity protocols are met and accurate reports are generated.
  • With other members of the B1 & Reporting Team, perform maintenance tasks as required to sustain the BI Report Suite using Tableau, Excel, PowerBI and other tool sets which are applicable.
  • Perform data operations activities such as matching, formatting and mapping data to ensure a global common data set.
  • Perform BI Development activities by testing outcomes to ensure new BI features are quality checked and released without issue.
  • Make recommendations about the methods and processes in which QSES obtains and analyses data to improve quality and the efficiency of data systems.
  • Promote 'Selfserve' analytics by mentoring internal stakeholders in the interpretation and use of analytical reports and models.
  • Any other additional duties as required.

Key skills and experience:

  • BSc in Mathematics, Economics, Computer Science, Information Management or Statistics, or a closely related field or equivalent demonstrable experience.
  • Experience working in Data Analyst or Business Data Analyst role.
  • Experience working with relational databases, data warehouses.
  • Highly skilful in SQL, SQLite and MySQL.
  • Good analytical skills with the ability to collect, format, organise and analyse significant amounts of information with attention to detail and accuracy.
  • Highly experienced in formatting, analysing, and presenting data in Tableau and Excel.
  • Experience in PowerBI, Microsoft

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