Data Analyst — Data MarketPlace

Your Team Responsibilities The Data Analyst works hands-on with the datasets that feed the MSCI Data platform. The role has two primary purposes. First, to perform crude, first-pass analysis on datasets before integration — assessing their basic commercial value and quality readiness — so the team can decide quickly and confidently whether a dataset is worth onboarding. Second, to act as a quick-response team that creates new datasets from MSCI internal data: extracting value, aggregating and deriving novel datasets, and authoring the first working version of the methodology before partnering with Technology to scale and automate it. This is exploratory, judgement-led work that sits ahead of the formal data pipeline; production-grade validation and automation are owned by the QA and engineering teams in Technology, with whom the Analyst works closely. Your Key Responsibilities Pre-integration value comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases). Demonstrated experience in data cleaning, validation and quality assurance. Strong exploratory data analysis skills — able to quickly make sense of an unfamiliar dataset and form a view on its value and quality. Comfortable using AI / LLM tools to speed up exploration and profiling (the production validation automation is owned by Technology QA, but familiarity with these tools is a plus). Solid grounding in financial data concepts — instruments, identifiers, corporate actions, time series and point-in-time data. Detail-oriented, with the judgement to spot when data ’looks wrong’ and the rigour to prove it. Familiarity with MSCI data (Barra factor / risk models, indexes, ESG it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. #J-18808-Ljbffr