Data Analytics & Research Support – Investment Banking

About Goodbody

For more than 150 years, Goodbody has helped clients make informed financial decisions and move forward with confidence. Today, we are an intelligence-led capital, investment and wealth platform with global reach, connecting insight, expertise and opportunity to deliver exceptional outcomes for businesses, individuals and institutions.

With more than 400 employees across Dublin, London, Cork and Galway, we combine deep expertise with a collaborative culture that enables our people to grow and succeed. Guided by our values and recognised through multiple employer and workplace culture awards, we are committed to creating an inclusive environment where ambition is supported, development is encouraged and careers can flourish.

About the Data Analytics & Research Support Role:

The Goodbody Investment Banking Research Team produces research and analysis on the macro economy, specialist sectors and c.70 companies quoted on the Irish, London and European stock exchanges. The Research Team works closely with the Distribution and Trading desks to fully engage with institutional clients on themes, forecasts and analysis that provide insight and expertise for our clients around the world.

The Goodbody Analytics department supports a team of top research analysts by enhancing their research output with cutting-edge data analytics techniques. The candidate will work closely alongside senior analysts on a range of projects, with the main goal of collecting unique data, finding meaningful insights, and identifying trends. Goodbody Analytics works with real-world data across fields such as macroeconomics, housing, food and beverage, and travel, among others. This is a great opportunity to work in a dynamic environment that champions creativity and curiosity.

Data Analytics & Research Support Accountabilities include:

• Data Acquisition
• Data Engineering
• Data Storage
• Data Analysis
• Predictive Analytics & Forecasting
• Application of the latest AI tools
• Data Visualization
• Supporting the Research Publishing Process.

Qualifications and Experience

• The ideal candidate should hold a third-level qualification at honours standard in Data Science, Data Analytics or Computer Science
• Proficiency in R is essential
• Proficiency in MS Excel is essential
• Proficiency in using generative AI (MS Copilot) is essential
• Knowledge of R libraries such as GGplot, Tidyverse, RMarkdown
• Web data mining, API interactions, JSON/XML data parsing
• SQL, Python, Java
• Power BI
• Microsoft Office (Word, PowerPoint)
• Data collection, wrangling and cleaning techniques
• Data architectures
• Handling and analysing unstructured data
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