Test Teechnogen, Inc.
Guidewire Billing Center Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Guidewire Billing Center Analyst with an 8+ year experience in Guidewire data models, strong SQL skills, and expertise in property and casualty insurance. Contract length and pay rate are unspecified; location is remote.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Warren, NJ
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🧠 - Skills detailed
#ML (Machine Learning) #AWS (Amazon Web Services) #Business Analysis #Data Profiling #Cloud #SQL Queries #Data Quality #BI (Business Intelligence) #Microsoft Power BI #NLP (Natural Language Processing) #SQL (Structured Query Language) #Tableau #Azure #GCP (Google Cloud Platform) #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Data Extraction #Predictive Modeling
Role description
Description: Guidewire Billing Center Analyst is responsible for prepare, analyze, and interpret Billing process and data to provide insights, often focusing on predictive modeling and business outcomes. Key skills are include extensive knowledge of Guidewire data models (PolicyCenter, ClaimCenter, BillingCenter), SQL for data extraction and manipulation, and collaboration with cross-functional teams to ensure data quality and support business objectives. Experience in P&C commercial line of business.
Basic Qualifications:
Guidewire Expertise: Extensive experience with Guidewire data models (PolicyCenter, ClaimCenter, BillingCenter) is essential. 8+ years experience.
SQL Proficiency: Strong ability to write and optimize SQL queries for data extraction and transformation. 2 years experience.
Data Warehousing: Solid understanding of data warehousing concepts and practices. 2 years experience.
Insurance Domain: Deep experience in the insurance domain, especially with property and casualty (P&C) insurance, is crucial.
Data Profiling & Analysis: Expert skills in data profiling and basic statistical analysis. 2 years experience.
Communication Skills: Excellent communication skills for interacting with various stakeholders, including customers and business analysts. 2 years experience.
Nice to Have:
BI Tools: Experience with reporting and business intelligence (BI) tools like Tableau or Power BI.
Cloud Platforms: Exposure to cloud-based data platforms such as AWS, Azure, or GCP.
Machine Learning (ML): Understanding of NLP and other machine learning techniques.
DBT: Experience with Data Build Tool (DBT)
Description: Guidewire Billing Center Analyst is responsible for prepare, analyze, and interpret Billing process and data to provide insights, often focusing on predictive modeling and business outcomes. Key skills are include extensive knowledge of Guidewire data models (PolicyCenter, ClaimCenter, BillingCenter), SQL for data extraction and manipulation, and collaboration with cross-functional teams to ensure data quality and support business objectives. Experience in P&C commercial line of business.
Basic Qualifications:
Guidewire Expertise: Extensive experience with Guidewire data models (PolicyCenter, ClaimCenter, BillingCenter) is essential. 8+ years experience.
SQL Proficiency: Strong ability to write and optimize SQL queries for data extraction and transformation. 2 years experience.
Data Warehousing: Solid understanding of data warehousing concepts and practices. 2 years experience.
Insurance Domain: Deep experience in the insurance domain, especially with property and casualty (P&C) insurance, is crucial.
Data Profiling & Analysis: Expert skills in data profiling and basic statistical analysis. 2 years experience.
Communication Skills: Excellent communication skills for interacting with various stakeholders, including customers and business analysts. 2 years experience.
Nice to Have:
BI Tools: Experience with reporting and business intelligence (BI) tools like Tableau or Power BI.
Cloud Platforms: Exposure to cloud-based data platforms such as AWS, Azure, or GCP.
Machine Learning (ML): Understanding of NLP and other machine learning techniques.
DBT: Experience with Data Build Tool (DBT)
