Lead Business Intelligence

**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

**The Role**

We’re looking for a Lead Business Intelligence & Product Analyst to join our newly established Strategy and Analytics function at QS. Someone who can help our Product teams translate user needs into rich data insights for higher education institutions. This role will be responsible for deepening the analytics that QS serves to higher education institutions, combining QS proprietary data with third-party data sets to enable our partners to set their strategies for a more financially predictable future. Data Analysis is an important component of the role, but equally relevant is having the ability to turn data into insight

**Role responsibilities**:

- Acting as the key analytics contact point between our Consulting and Analytics product teams, enabling Product leads to drive greater synergy between the product suite.
- Hands on delivery of products and projects that enable QS to transform our analytics and advisory services suite using data-led initiatives.
- Working closely with stakeholders to understand and define the metrics and analysis that will enable higher education senior leaders to better assess their performance.
- Identify opportunities to productize bespoke analytical output, while developing strategies for utilizing analytical products in client engagements.
- Delivering high quality business intelligence and data analytics products that leverage the breadth of the QS data asset and third-party datasets to tell a customer-centric performance story.
- Collaborate with cross-functional teams, including data engineers and business analysts, to ensure seamless data integration and reporting processes.
- Mentoring and coaching teams across the organization to develop their data analysis skills.
- Establishing data analysis best practice for the organization.
- 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 QS obtains and analyses data to improve quality and the efficiency of data systems. Promote 'Self-serve' analytics by mentoring internal stakeholders in the interpretation and use of analytical reports and models.
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**Key skills and experience:
- Master's degree in a numerate field with focus on statistics and analysis (desirable).
- Previous experience in business intelligence, data analytics, or data product delivery at
various levels.
- Strong technical skills in data manipulation using SQL, Python, VBA, and R.
- Familiarity with cloud data storage platforms and ETL/ELT tools.
- Understanding of data modelling, mapping, and governance principles.
- Proficient in Tableau, PowerBI, Qlikview, or similar visualization tools.
- Ability to communicate technical concepts to non-technical stakeholders.
- Experience in delivering standardized reporting solutions using agile methodology and tools.
- Familiarity with data standardization and report automati