Crum & Forster

Senior Data Solutions Analyst

Crum & Forster

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $78,900 - $115,700 per year

Job Level

Senior

Tech Stack

ETLPostgresPythonSQL

About the role

  • Turn complex data into actionable insights for the Surplus & Specialty Team by designing and developing data solutions
  • Perform and document data analysis, data validation, and data mapping/design
  • Conceptualize and implement ETL processes within Snowflake using Procedures, Tasks, Dynamic Tables, etc.
  • Support Data Analysts by building high performing queries for reporting
  • Work with other departments to provide data solutions (Data Marts, Ad Hoc Queries)
  • Conduct unit tests and develop database queries to analyze effects and troubleshoot issues
  • Communicate with all levels of the organization to design and develop data solutions
  • Utilize JIRA to track and manage task progress within weekly sprints

Requirements

  • Bachelors in mathematics, computer science, information systems, or related field
  • 5+ years of extensive work experience with relational databases (SQL Server, PostgreSQL, DB2, etc.)
  • Experience developing solutions (procedures, functions, views, ETL processes, etc.) using complex SQL concepts
  • Knowledge of techniques used for query efficiency (Time & Cost)
  • Experience with Snowflake (queries, procedures, functions, tasks) preferred
  • Experience conceptualizing, developing, and documenting data solutions
  • Experience implementing ETL processes within Snowflake (Procedures, Tasks, Dynamic Tables)
  • Experience supporting Data Analysts with high-performing queries for reporting
  • Experience working with Data Marts and Ad Hoc queries
  • Experience conducting unit tests and troubleshooting database issues
  • Excellent verbal and written communication skills
  • Experience using JIRA to track/manage tasks and sprints
  • Desired: Insurance industry knowledge
  • Desired: Experience with data manipulation tools (Python, R)
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