Lead Data Analyst with Duck creek exp is good to have

Nityo Infotech Corporation
East Hartford, CT, United States
5 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure COBOL (Programming Language) Information Systems Data Mapping Data Profiling Data Structures IBM DB2 PostgreSQL Mainframes SQL Databases Information Technology
+2 more
Data Analytics Legacy Systems

Job description

Migration Analysis & Strategy

· Perform source-to-target mapping (STTM) from legacy Mainframe data structures (COBOL/DB2) to Duck Creek standard data models.

· Lead data profiling activities on historical policy, claims, and billing data to identify data gaps, redundancies, and cleansing requirements.

· Define business transformation rules ensuring legacy Personal Lines products (Auto and Home) map accurately into Duck Creek’s product configurations.

Domain Execution & Validation

· Validate complex insurance metrics across the migration lifecycle, including Written/Earned Premium, Loss History, Policy Coverages, and Deductibles.

· Establish automated reconciliation frameworks to verify that millions of migrated records match financial and operational balances.

· Collaborate with Underwriting and Product Owners to ensure automated rating engine inputs function identical to or better than legacy rules.

Team Leadership & Stakeholder Management

· Direct a team of data analysts, assigning migration streams (e.g., Auto Policy, Home Claims, Billing) and tracking delivery milestones.

Requirements

· Education: Bachelor’s degree in data Analytics, Computer Science, Information Systems, or a related field.

· Experience: 8+ years as a Data Analyst, with at least 3 years leading data tracks for large-scale core insurance platform migrations.

· Domain Knowledge: Deep understanding of Personal Lines (Automotive and Home) insurance lifecycles, policy structures, and standard coverages.

· Legacy Systems: Hands-on experience working with Mainframe systems (interpreting copybooks, querying DB2, PostgreSQL or understanding flat files).

· Target System: Prior experience working with or migrating into Duck Creek Policy, Claims, or Billing modules is highly preferred.

· Data Tools: Advanced proficiency in SQL (writing complex joins, unions, and validation scripts)

Preferred (Nice-to-Have) Skills

· Certification in Duck Creek (Policy or Claims training).

· Experience utilizing Azure or AWS cloud environments as a staging area during migration.

· Understanding of state-specific regulatory reporting requirements for Auto and Home insurance lines.

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