Remote Data Analyst

Sigma Systems; United States; Remote; USD 85,000 - 115,000; Full time

Benefits offered by this job

Collaborative team environment

Opportunity for growth

Engagement in high-impact projects

Job summary

A leading data solutions company seeks an experienced Data Analyst specializing in Guidewire PolicyCenter. This remote role involves validating data integrity, reporting, and ETL processes. Candidates should have over 8 years of experience, strong SQL skills, and expertise in data modeling and quality assurance. Join a collaborative team to improve data initiatives in the insurance domain, offering a chance to work on impactful projects.

Qualifications

• 8+ years of experience as a Data Analyst.
• Hands-on experience with Guidewire PolicyCenter data.
• Experience validating ETL processes using tools like SSIS.

Responsibilities

• Validate database schemas and data models supporting PolicyCenter.
• Perform checks on ETL/SSIS processes for data accuracy.
• Write and optimize complex SQL queries for reporting.

Skills

Strong SQL skills

Guidewire PolicyCenter expertise

Data validation

ETL process validation

Tools

SSIS

Power BI

Tableau

SQL

Job description

Data Analyst (Guidewire PolicyCenter)

Location: Remote (U.S.-based preferred)
Type:Contract

Overview

We are seeking an experienced Data Analyst with strong Guidewire PolicyCenter expertise to support data validation, reporting, and ETL processes within a complex insurance environment. This role will work closely with data engineering, reporting, and application teams to ensure accuracy, integrity, and usability of PolicyCenter data across downstream systems.

Key Responsibilities

Data Modeling & Mapping Validation

• Validate database schemas and data models supporting PolicyCenter reporting and downstream systems (ODS, data warehouse, reporting marts)
• Perform source-to-target mapping validation to ensure accurate data transformations and business logic
• Review data dictionaries, entity relationships, and model assumptions (keys, grain, effective dating, history handling)

ETL & SSIS Validation

• Validate ETL/SSIS processes for data accuracy, completeness, and timeliness
• Perform checks on row counts, key integrity, incremental/delta logic, and load schedules
• Support ETL testing cycles and troubleshoot failures across source, staging, and reporting layers

PolicyCenter Data Expertise

• Work extensively with PolicyCenter data structures, including key entities such as Account, Policy, PolicyPeriod, and Job
• Interpret policy lifecycle transactions including New Business, Renewals, Endorsements, Cancellations, Reinstatements, and Rewrites
• Ensure accurate representation of coverage, risk attributes, and policy-level data in reporting outputs

SQL Development & Support

• Write and optimize complex SQL queries (joins, CTEs, window functions)
• Support developers and analysts with query logic for coverage selection, effective dates, and transaction-based reporting
• Ensure proper understanding of data grain to avoid duplication and misreporting
• Recommend performance improvements (indexing, filtering, query tuning)

Data Quality & Reconciliation

• Develop and execute data quality checks (completeness, validity, referential integrity, duplicates)
• Reconcile data across systems (source staging reporting layers)
• Analyze discrepancies and partner with technical teams to resolve data issues

Documentation & Knowledge Sharing

• Maintain documentation including data lineage, table relationships, and query best practices
• Create reusable SQL scripts, validation checklists, and reconciliation frameworks
• Document known data nuances and business logic considerations

Required Qualifications

• 8+ years of experience as a Data Analyst
• Hands-on experience with Guidewire PolicyCenter data
• Strong SQL skills (complex joins, CTEs, performance tuning)
• Experience validating ETL processes (SSIS or similar tools)
• Solid understanding of data modeling concepts (keys, grain, dimensions/facts, effective dating)

Preferred Qualifications

• Experience with data warehouses, ODS, and reporting layers
• Familiarity with BI tools such as Power BI, Tableau, or SSRS
• Experience building data validation frameworks or reconciliation processes
• Understanding of Property & Casualty (P&C) insurance domain and policy lifecycle

Why Join Us

• Work on high-impact data initiatives in a complex enterprise environment
• Collaborate with cross-functional teams across data, engineering, and business domains
• Opportunity to contribute to scalable data quality and reporting frameworks