Insurance Data Analyst
- Compensation
- Not disclosed
- Location
- Portland, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structure
- The contractor will leverage advanced Excel skills—including complex formulas, data cleansing techniques, pivot tables, and data validation tools—to efficiently transform and audit large datasets prio
- They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data proc
- Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential.
Full description
Title: Insurance Data AnalystDuration: 2 MonthsLocation: Portland, ORJob Description
The Insurance Data
Analyst contractor will play a key role in supporting our transition to
Riskonnect by gathering, validating, and analyzing insurance related data
required for system configuration and ongoing reporting.
Requirements
Responsibilities
- This role involves
consolidating information from claims, policies, exposures, and historical
loss records; performing data quality checks; identifying inconsistencies
or gaps; and preparing structured datasets aligned with Riskonnect’s data
mapping and upload requirements.
- The contractor will leverage
advanced Excel skills—including complex formulas, data cleansing
techniques, pivot tables, and data validation tools—to efficiently
transform and audit large datasets prior to migration.
- They will collaborate closely
with internal stakeholders and the implementation team to ensure accurate
data migration, support user acceptance testing with analytical insights,
and document data processes to enable smooth adoption of the new platform.
- Clear communication,
meticulous attention to detail, and the ability to work independently in a
fast-moving implementation environment are essential.