Data Analyst: Rapid Dataset Vetting & Prototyping

MSCI Inc; Greater London; Híbrido; GBP 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements

Collaborative workspace and access to-

Learning@MSCI platform access

Global network of colleagues

Employee Resource Groups

Descripción de la vacante

MSCI Inc. is seeking a Data Analyst to hands-on work with datasets feeding the MSCI Data platform. You will perform first-pass analysis on external vendor data and create new datasets from internal sources, building initial methodologies before scalable processes are implemented by Technology.

You will collaborate with Data Scout, Applied Research, and Technology QA to ensure data value, quality, and readiness, while producing per-dataset analytics for marketing and platform use.

Formación

• 3-5+ years in a data analyst or quantitative data role (financial data preferred).
• Strong Python and SQL skills; able to manipulate large, wide, messy datasets.
• Experience in data cleaning, validation and quality assurance.
• Strong exploratory data analysis skills and quick insight generation.
• Familiarity with AI/LLM tools to speed up exploration and profiling.

Responsabilidades

• Perform crude, first-pass data analysis on external vendor datasets before integration.
• Assess MSCI internal datasets for quality ahead of MarketPlace inclusion.
• Profile datasets (coverage, frequency, history, schema) to support onboarding decisions.
• Document value-and-quality readiness per dataset with key strengths, gaps and risks.
• Validate MarketPlace datasets ongoing for accuracy and currency.

Conocimientos

Python

SQL

Data cleaning

Exploratory data analysis

AI/LLM tools

Financial data concepts

Cloud data platforms

Backtesting / signal research

Pandas

Relational databases

Herramientas

Snowflake

Databricks

Google Cloud Platform

pandas

SQL databases

Descripción del empleo

MSCI Inc. is seeking a Data Analyst to hands-on work with datasets feeding the MSCI Data platform. You will perform first-pass analysis on external vendor data and create new datasets from internal sources, building initial methodologies before scalable processes are implemented by Technology.

You will collaborate with Data Scout, Applied Research, and Technology QA to ensure data value, quality, and readiness, while producing per-dataset analytics for marketing and platform use.