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A reputable insurance company is seeking an experienced Data Analyst who is comfortable working with varied data sets to surface actionable insights. The ideal candidate can implement and troubleshoot data loading and processing tools such as SQL, and can identify and contribute to areas of improvement in the ETL pipeline. Conversational English is a must.
- Responsible for helping the company understand data and use it more effectively
- Perform ETL Process troubleshooting and analysis
- Structure data sets to find usable information
- Identify functional issues, interdependencies, and cross-silo redundancies within the organization
- Create reports to collect and analyze data
- Provide project updates and technical documentation (business needs statements, technical specifications, etc.)
- Create and maintain various process and architecture diagrams
- Capture metrics that support the organizations IT governance processes
- Define the data shared across the enterprise and capture the relationships among roles, capabilities, and business units
- Tech Stack: AWS, Spark, Scala
- Strong English communication skills.
- Minimum of 3+ years’ experience working with and analyzing complex data and file formats.
- Experience with business process and mapping
- Insurance experience is strongly preferred, especially with life insurance data models such as the ACORD standard
- RedShift is a major plus
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