Back
Multiple amplifiers: generalist data analyst title, metro locations, broad skillset, and recognizable consulting brand increase applicant density.
Role is data-focused but centered on liquidity analytics in finance, making industry knowledge moderately important.
Explicit 1–4 years requirement plus mandatory SQL and visualization skills create moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Monitor, diagnose, and resolve issues in liquidity risk systems to ensure optimal performance.
Assist in data analysis, validation, and implementation of new liquidity methodologies and models.
Support development and deployment of analytics and dashboards (Tableau/Superset) to enhance liquidity management decision-making.
Bachelor's degree in Finance, Technology, or related field from a recognized institution.
1-4 years of relevant experience in data, reporting, or IT roles.
Advanced proficiency in SQL and experience optimizing stored procedures; foundational Excel and database knowledge.
Familiarity with data visualization tools (Tableau or Superset); experience with Python and cloud platforms is advantageous but not mandatory.
Experience supporting technical solutions and analytics in liquidity or risk management environments.
Strong analytical skills with ability to interpret large datasets and contribute to continuous improvement of risk tooling.
Operates well in cross-functional teams, able to translate business requirements into technical solutions with effective communication.