Description
Rimes is recruiting a Data Analyst to support its global Data organization by maintaining and improving financial data products and services, collaborating with developers and performance analysts on data quality and infrastructure, responding to client and internal data questions, coordinating with data suppliers on calculation methodologies and anomalies, and helping uphold data quality. The role requires a bachelor's or master's degree in a relevant field, strong analytical and communication skills, and preferably financial-market knowledge, Python or Perl experience, SQL knowledge, and experience with Databricks or similar distributed data platforms. It follows a hybrid model with two office days per week and a 9am–6pm schedule.
