Perform data analysis using your weapon of choice - either Tableau or Power BI.
Perform data manipulation, analysis, and forecasting via MS Excel.
Learn how to analyse and capture insights using real world data.
Learn what service intelligence is and it's impact.
Work with partners across the globe.
Get to be part of world's leading fintech company.
What we are looking for: You will have an interest in technology demonstrated either via your academic studies, work experience, or extracurricular activities. For instance, you may be part of a Computing Society, have taught yourself how to code or have focused on technology as part of a university project. Basic SQL, will be a good starting point to have for this internship.
Although not a requirement if you understood Python, Power BI, and Tableau skills this would be a plus.
A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
Individuals who are able to connect the dots and think creatively.
People who can collaborate with others, using their strong English communication skills in the process. (written and verbal).
To be apply, you must be a penultimate year student due to complete your degree 2026. You should have a good grade and studying a technology, engineering or computing related degree. Application close: 31 December 2024, however we recommend an early application because we consider candidates on a rolling recruitment basis. Due to the volume of applications, we might close the applications earlier. LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
Job skills required: English, Tableau, Power BI, Data Analysis
Job skills preferred: Excel, Python, SQL