Data Analyst

Responsibilities: 

Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.

Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.

Create SQL and Python code that is optimized, efficient, repeatable and scalable

Analyze, understand and prepare complex and new data sources and incorporate them into project design. 

Perform design, creation, and interpretation of large and highly complex datasets.

Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.

Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.

Develop and implement data quality checks and troubleshoot data anomalies.

Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions

Package, summarize, visualize and perform storytelling on analytical findings and results to technical and non-technical people alike

Ability to advocate for the implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the “so what” out of the analysis being performed. 

Required Qualifications: 

BS degree in a STEM major or equivalent discipline

5-7 years of experience in a related role as data analyst or data engineer

Extensive experience in SQL is a must, as well as strong working knowledge of Python

Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance

Preferred Qualifications: 

Master’s degree in a related field is a strong plus

Background in credit risk, financial data analytics or risk modeling.

Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)

Experience in Business Intelligence, data visualization, and customer insights generation. 

Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments

Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects 

Demonstrates advanced Git usage and CI/CD integration skills

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.