Role: Data Analyst-Guidewire

Location: Warren, NJ (Hybrid)

Type: Contract

Job Summary:

• Guidewire Billing Center Data Analyst is responsible for prepare, analyse, and interpret data to provide insights, often focusing on predictive modelling and business outcomes.
• Key responsibilities include extensive knowledge of Guidewire data models (Policy Center, Claim enter, Billing Center), SQL for data extraction and manipulation, and collaboration with cross-functional teams to ensure data quality and support business objectives.

Day to Day job Duties: (what this person will do on a daily/weekly basis)

• Data Analysis & Modeling: Analyse complex datasets, identify trends, and prepare data for predictive modelling and other machine learning projects.
• Guidewire Expertise: Leverage deep knowledge of Guidewire data models (PC, BC, CC) to understand data origins, perform data mapping, and integrate data with other systems.
• Technical Skills: Utilize expert SQL skills to write and optimize queries for extracting, transforming, and loading data. Experience with tools like DBT is also a plus.
• Collaboration: Work with various teams, including Sales, Product, Customer Success, and Data Warehouse teams, to align on data needs and provide solutions.
• Data Quality: Evaluate internal systems for issues and inaccuracies, developing protocols for data handling, processing, and cleaning.
• Insight Communication: Clearly communicate insights derived from data to both technical and non-technical stakeholders.
• Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
• Guidewire Billing Center Knowledge: Extensive experience with Guidewire Billing Center data models is essential.
• SQL Proficiency: Strong ability to write and optimize SQL queries for data extraction and transformation.
• Data Warehousing: Solid understanding of data warehousing concepts and practices.
• 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.
• Communication Skills: Excellent communication skills for interacting with various stakeholders, including customers and business analysts.

Nice to Have; (But not a must)

• 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)