P&C domain Data Analyst at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Migration, ETL, Insurance Domain, Data Quality, Regulatory Compliance, Risk Management, Data Validation, Collaboration, Communication, Policy Administration, Billing Management, Claims Management, Data Analytics, Integration, APIs, NLP

Industry

IT Services and IT Consulting

Description

- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality. - Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration. 2. - Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems. - Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT). 3. Collaboration and Communication: - Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals. - Prepare and present progress reports and analytical findings to management and cross-functional teams. 4. Risk Management: - Identify potential data migration risks and develop mitigation strategies. - Conduct thorough testing and validation of migrated data to ensure accuracy and integrity. 5. - Bachelor's degree in information technology, Computer Science, or a related field; advanced degree preferred. - Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects. - Strong knowledge of insurance products, underwriting, claims, and regulatory requirements. - Proficient in data migration tools and techniques, with experience in ETL processes. Provide extended coverage for global teams, especially those in different time zones (e.g., US-based clients). Coordinate with offshore/onshore teams for handovers and status updates. Perform after-hours report refreshes and data validations, minimizing impact on business operations. 1. 1. Policy Administration Handled quoting, rating, underwriting, policy issuance, endorsements, renewals, and cancellations. Exposure on Tools: Guidewire PolicyCenter, Duck Creek worked on policy admin Data components: Product models, customer attributes, risk factors supported Integrations with CRM, payment gateways, general ledger 2. Billing Management Managed the entire billing and collections cycle. Features worked on : Installment schedules, payment modes, commission disbursement Integrations worked on : ERP systems, financial reporting tools 3. Claims Management Supported intake, triage, segmentation, loss assessment, and settlement. Worked on Technologies: NLP, OCR, ML for fraud detection and predictive analytics worked on Tools: ClaimCenter, RPA bots, virtual chatbots 4. Reinsurance 5. Data & Analytics Supported reporting, compliance, and operational insights and most importantly troubleshooting the lineage. Worked on Components: Data lakes, warehouses, marts, cubes handeled Use cases like : Actuarial triangles, regulatory dashboards, KPI tracking 6. Integration & Ecosystem Worked on Connects core systems with third-party services and internal platforms. Worked on APIs for ADAS, OEMs, and external data sources Exposure to Platforms: Unqork, Outsystems, SmartComm, ServiceNow

Responsibilities

The Data Analyst will provide insights into best practices within the insurance domain to ensure compliance and enhance data quality, while overseeing the entire data migration process. They will also liaise between technical teams and business stakeholders to align migration objectives with business goals.