Mid Data Analyst (She/He/They)
Core
Sourcing, transforming, and preparing large-scale datasets to support advanced machine learning model development in financial services.
Role type
Mid-level Data Analyst (ML support)
Builds
Data pipelines and high-quality datasets for analytical and modeling initiatives
Domain
Financial services / Banking / Capital markets
Deliverable
production ML models
Required skills
SQL, Python (Pandas, NumPy, SciPy, PySpark), data wrangling, ETL design, large-scale database management
Preferred skills
Banking or financial services domain knowledge
Technologies
PySpark, Pandas, NumPy, SciPy
Responsibilities
Source and aggregate data from internal and external sources; Clean, transform, validate, and analyze complex datasets; Design, develop, and optimize ETL pipelines; Work with large-scale databases and distributed data environments; Identify data quality issues and implement solutions; Contribute to continuous improvement of data management processes
Seniority
Mid-level, hands-on IC
