Senior Analytical Engineer

The role:

As a senior analytics engineer at Galileo, you’ll work closely with data engineers, service owners, and others to build out a world-class analytical platform. As a long-time leader in the payments space, Galileo has raw data that spans over more than 20 years to all aspects of payments, including transactional card data, payment dispute cases, patterns of fraudulent activity and more. Using cutting-edge tools in the cloud, you’ll assemble, model, and analyze these datasets to develop unique insights for both internal users and our clients.

What you’ll do:

• Contribute to the design, orchestration and development of ongoing data science projects from data ingestion to presentation

• Work with platform engineers and others to develop tools/frameworks needed to carry out projects

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Synthesize insights from raw data 

• Build dashboards and other visualizations; communicate findings internally and externally

• Research new data engineering and analytics methodologies with minimal guidance and support from other team members

• Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed

• Values-driven approach to your role - SoFi and Galileo are values driven companies; we look to work with others who are as well. 

• Desire to make a difference by extending and diversifying the reach of innovative payment solutions around the world

What you’ll need:

• Bachelor's Degree or higher in a quantitative field (Computer Science, Mathematics, Machine Learning, Operations Research, Statistics, etc.) 

• 6+ years of experience in a major database environment

• Experience leading analytics projects from beginning to operationalization

• Experience with data pipeline and workflow management tools: dbt, Airflow, etc.

• Experience in building dashboards and analysis using tools such as Looker, Tableau, and related tools.

• Fluency in SQL for data queries

• Experience in complex SQL query optimization and schema refinement

• Data modeling experience using Star and Snowflake and with familiarity with relational database design

• Experience with stream-processing systems

Nice to have:

• Prior exposure to the payments industry and familiarity with card-based services

• Familiarity with Snowflake or other cloud data warehouses

• Familiarity with Looker, including LookML and integrating LookML with dbt-built models

• Familiarity with common data science tools in AWS, including SageMaker, S3, EC2, EMR, RDS, Redshift

• Experience in building machine-learning models

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