Data Analyst With Insurance Domain

JOB DESCRIPTION

Position: Data Analyst with Insurance domain exp Mandatory
 
Woodbridge, NJ (4 days/week onsite)- Need locals only
 
Visa     Open
 
Exp level: 12+ years  
 
Rate: $55-60/hr
 
In Person interview is required
 
***Need to be a very strong communicator
 
Need someone with:  
 
Strong testing skills (this is not a QA position).
 SQL query .
 PYTHON (able to read, write and troubleshoot).
 Migrating to Snowflake/RedShift, so knowledge and experience in this area is desiredP+C exp would be IDEALKnowledge of Informatica or similar ETL tools to assist with researching the code.
 Personality- needs someone strong voice, pro-active, and some skills around automation, SQL and Snowflake.
 
The Senior Data Analyst position will be responsible for the management, design, testing and implementation of Data Warehouse projects for Policy, Claims, Quotes, Billing, Agency, ancillary components and Data Mart insurance application data. 
 
 Skills/Knowledge  
 
   Bachelor's degree in Computer Science (or equivalent experience), with 7+ years of software development experience (ideally SQL)
 
   7+ years of Data Analyst Experience
 
   Experience in relational databases
 
   Experience in data mapping and transformations
 
   Experience using a software development life cycle (SDLC) methodology, including project planning and estimating. Experience with Jira.
 
   Experience with AWS components in the cloud (ie. S3, Sagemaker, Python, etc)
 
   Experience with Snowflake/RedShirt Data platform(s)  
 
   Experience AIX/DB2 & Windows/Sql Server
 
   Experience with Effective oral & written communication skills     must have the ability to be heard
 
   Strong data modeling skills
 
   Analytical Skills
 
Other highly valued skills would include:
 
   Knowledge of the Property and Casualty Insurance industry is desired
 
   Knowledge of the full life cycle of a Policy and Claim within the P&C world
 
   Knowledge of Data Warehousing Methodologies including Snowflake & AWS S3. Cloud
 
   Knowledge of Informatica or similar ETL tools to assist with researching the code