Mid Data Analyst
Core
Support the development of advanced financial machine learning models by sourcing, transforming, and preparing large-scale datasets.
Role type
Mid-level Data Analyst (Financial Services)
Builds
Production ML models | ETL pipelines | Data solutions
Domain
Financial services (banking, payments, 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, aggregate, and prepare data from multiple 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.
Seniority
Mid-level, hands-on IC