P&C Insurance Data Analytics Engineer

Hi Kashif, Greetings of the day! We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients, If you're interested, please share your updated resume at your earliest convenience, and I’ll be happy to provide more details about the role. Position: P&C Insurance Data Analytics Engineer Location: Warren, NJ, (100% Onsite) Duration: 12+ Months (Long-Term) Job Description: At Client, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for Client and for the people who work here. Overview: We are seeking an experienced P&C Insurance Domain Expert to lead data analytics projects within our organization. The ideal candidate will have a deep understanding of the P&C insurance industry areas like Policy Administration, Billing, Claims and Reinsurance plus excellent data analytics experience in Data lakes, warehouses, marts, cubes and handled Use cases like : Actuarial triangles, regulatory dashboards, KPI tracking, and hands-on experience in executing successful data analytics initiatives. Qualifications: • Bachelor’s degree in information technology, Computer Science, or a related field; advanced degree preferred. • Minimum of 5-10 years of experience in the P&C insurance domain with a focus on data Analytics projects. • Strong knowledge of P&C insurance products, Policy Admin, Billing, underwriting, claims, and regulatory requirements. • Proficient in data Analytics tools and techniques. • Excellent analytical and problem-solving skills with attention to detail. • Strong communication and presentation skills to interact with various stakeholders Key Responsibilities: Policy Administration:- Handled quoting, rating, underwriting, policy issuance, endorsements, renewals, and cancellations. Worked 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 Billing Management:- Managed the entire billing and collections cycle. Features worked on: Instalment schedules, payment modes, commission disbursement Integrations worked on: ERP systems, financial reporting tools 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 Reinsurance:- Strong functional exposure desired. Data & Analytics:- Supported reporting, compliance, and operational insights and most importantly troubleshooting the lineage. Worked on Components: Data lakes, warehouses, marts, cubes Handled Use cases like: Actuarial triangles, regulatory dashboards, KPI tracking 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, Smart COMM, ServiceNow Best Regards,