Este perfil está escrito en inglés
Business Analyst
Demonstrated experience with Policy Administration.
Demonstrated experience with Claims.
Demonstrated experience with Billing.
Demonstrated experience with Underwriting.
Demonstrated experience with Reinsurance.
Business Analyst open to new opportunities
Led requirements workshops and stakeholder interviews with Claims, Operations, Product, Data, Architecture, Development, QA, and Compliance teams to define business and data requirements for BOP and third-party property enhancements.. Analyzed customer, insured, claimant, policy, coverage, exposure, reserve, payment, and party data across ClaimCenter and downstream platforms to support consistent customer and claims views.. Defined source-to-target data mappings from Guidewire ClaimCenter and related policy sources into Snowflake and enterprise reporting layers, documenting field definitions, transformations, business rules, and reconciliation logic.. Wrote and validated complex SQL queries for claims-data profiling, duplicate detection, null/format checks, payment reconciliation, coverage validation, and exception analysis across Snowflake and SQL databases.. Partnered with data architects on data-model and Customer 360 considerations for insured, claimant, account, policy, and claim relationships, helping downstream teams maintain consistent party-level identifiers and hierarchies.. Documented business rules for FNOL, adjudication, reserves, loss payments, subrogation, salvage, coverage validation, deductibles, and first-party/third-party claim handling.. Facilitated Agile/Scrum ceremonies, authored epics and user stories with acceptance criteria, managed traceability and dependencies in JIRA/Confluence, and supported backlog refinement and sprint planning.. Created BRDs, FRDs, RTMs, process flows, data requirements, interface specifications, and UI/UX requirements to translate business needs into implementable Guidewire and data-platform changes.. Worked with ETL teams on Informatica and Azure Data Factory requirements, validating transformation logic and data-quality controls for claims feeds into enterprise data platforms.. Coordinated UAT from planning through sign-off, including test scenarios, test data, end-to-end execution, SQL-based result validation, defect triage, regression impact assessment, and release-readiness reviews.. Validated integrations across ClaimCenter, PolicyCenter, BillingCenter, and reporting platforms to ensure policy/coverage context, billing adjustments, claim payments, and audit trails remained synchronized.. Defined KPI and reporting requirements for Tableau, SSRS, and Cognos claim analytics, ensuring metrics reconciled to governed SQL/Snowflake sources.. Supported data-governance reviews by clarifying business definitions, ownership, validation rules, lineage, and critical-data-element requirements for claim and customer-related fields.. Partnered with QA and development teams during defect triage to perform root-cause analysis using SQL, data mappings, transaction traces, and business-rule comparisons.. Maintained stakeholder communication across concurrent workstreams, escalating data dependencies and implementation risks while keeping business owners aligned on scope, priority, and acceptance decisions.
Gathered and documented business, functional, integration, and data requirements for Guidewire PolicyCenter, BillingCenter, ClaimCenter, DataHub, and Agency Portal modernization.. Partnered with business and data stakeholders to define a more consistent enterprise view of customers, accounts, policies, claims, agents, and producers across Guidewire InsuranceSuite and downstream analytics platforms.. Defined source-to-target mappings for customer, policy, billing, claims, coverage, agency, and transaction data migrating from legacy platforms into Guidewire DataHub, Snowflake, and enterprise warehouse structures.. Used SQL to profile legacy and target data, validate mapping assumptions, reconcile record counts and financial totals, identify duplicates, and investigate data-quality exceptions during conversion cycles.. Supported MDM-oriented requirements for customer identifiers, party relationships, duplicate management, reference-data consistency, and governed definitions used by Customer 360 and reporting consumers.. Collaborated with architects and data engineers on data models, integration flows, ETL transformation rules, and downstream consumption requirements across Snowflake, SQL databases, AWS, and Guidewire DataHub.. Created data dictionaries, mapping specifications, business-rule catalogs, lineage notes, and reconciliation criteria to support transparent migration and enterprise data governance.. Documented PolicyCenter workflows for quoting, rating, underwriting, endorsements, cancellations, renewals, and post-policy changes across BOP, Workers Compensation, Commercial Auto, and personal lines.. Defined BillingCenter and ClaimCenter integration requirements to preserve consistent account, policy, coverage, payment, claim, and customer relationships throughout the insurance lifecycle.. Led JAD/JRP sessions, AS-IS/TO-BE analysis, process modeling, gap analysis, and impact assessments for legacy-system decommissioning and future-state Guidewire workflows.. Authored epics, user stories, acceptance criteria, BRDs, FRDs, RTMs, interface requirements, and nonfunctional requirements; managed Agile/Scrum delivery through JIRA and Confluence.. Coordinated UAT readiness and execution across policy, billing, claims, DataHub, and Agency Portal releases, validating end-to-end workflows and SQL-based data results with business users.. Worked with Informatica/ETL and Python-based validation processes to confirm transformation logic, completeness, consistency, and business-rule compliance across conversion and integration feeds.. Defined reporting and KPI requirements for Cognos, Tableau, and SSRS, ensuring customer, policy, billing, and claim metrics reconciled to governed enterprise data sources.. Managed cross-functional stakeholders across Underwriting, Claims, Billing, Distribution, Data, IT, QA, Compliance, and vendors, driving decisions on requirements, defects, data issues, and release scope.
Elicited and documented requirements for commercial policy administration, customer self-service, quote generation, online payments, FNOL, policy inquiry, and account management.. Mapped customer, account, policy, coverage, location, producer, billing, and claims attributes from legacy sources to Guidewire and Snowflake target structures using field-level source-to-target specifications.. Performed SQL-based data analysis and profiling to validate customer/account relationships, policy status, coverage attributes, billing balances, and conversion results across legacy and target data stores.. Supported customer-data standardization by documenting identifiers, relationship rules, duplicate handling, data-quality validations, and reference values required for consistent customer and policy views.. Gathered Guidewire PolicyCenter requirements for quote-to-bind, underwriting, rating, endorsements, cancellations, renewals, issuance, and post-policy transactions across BOP, Commercial Auto, Workers Compensation, and Inland Marine.. Documented real-time integration requirements between PolicyCenter, BillingCenter, ClaimCenter, Agency Portal, and downstream data/reporting systems to replace mainframe batch dependencies.. Created AS-IS/TO-BE process flows, BRDs, FRDs, user stories, acceptance criteria, RTMs, interface requirements, data mappings, and UI/UX specifications.. Partnered with data teams to validate ETL mappings and SQL queries for migration into Snowflake and AWS-based enterprise data warehouses, resolving mapping and data-quality defects before release.. Established business validation rules for policy status, effective/expiration dates, cancellations, renewals, billing transactions, policy documents, and customer-facing self-service functions.. Facilitated Agile/Scrum ceremonies and stakeholder reviews, coordinating Product, Underwriting, Operations, Data, Development, QA, Compliance, and business SMEs through prioritization and change decisions.. Led UAT preparation and execution for policy, billing, customer self-service, and claims-reporting workflows, including test-data setup, defect triage, regression validation, and business sign-off.. Defined reporting requirements and KPI validation for Cognos, Tableau, and SSRS dashboards, using SQL reconciliation to ensure trusted policy and customer metrics.. Supported data-governance and audit-readiness activities by documenting business definitions, mapping rationale, data ownership, validation evidence, and production control requirements.
Gathered and analyzed Customer 360, client-data, reinsurance, policy, and claims requirements through JAD sessions, SME interviews, process workshops, and stakeholder reviews.. Facilitated integration of Client Data Management with Guidewire InsuranceSuite to provide a unified 360-degree view of insureds, claimants, agents, reinsurers, policies, claims, and related-party relationships.. Defined MDM-oriented business rules for customer identity, duplicate identification, match/merge review, relationship hierarchies, reference data, and trusted customer attributes used across insurance operations.. Created source-to-target data mappings for policyholder, claimant, producer, exposure, policy, claim, settlement, and reinsurance data migrating into Guidewire DataHub and enterprise reporting stores.. Used SQL to validate client and reinsurance data across SQL databases and warehouse structures, performing reconciliation, duplicate analysis, exception investigation, and field-level mapping validation.. Worked with data architects on logical data models, customer/party relationships, ETL requirements, and Snowflake/AWS warehouse structures supporting Customer 360 and reinsurance analytics.. Documented data-quality rules, transformation logic, business definitions, lineage, and governance requirements to improve trust in customer and reinsurance data.. Gathered Guidewire Reinsurance Management requirements for treaty and facultative arrangements, ceded premium, recoveries, retention limits, retrocession, and bordereaux processing.. Collaborated with Underwriting, Claims, Reinsurance, Operations, Data, IT, and QA stakeholders to align customer-data and policy/claims workflows with regulatory and reporting needs.. Authored BRDs, FRDs, user stories, acceptance criteria, RTMs, process flows, mapping documents, and test scenarios in an Agile/Scrum environment.. Led UAT and functional validation for Client Data Management, ClaimCenter, and Reinsurance integrations, including SQL result checks, defect triage, regression testing, and business sign-off.. Supported Tableau, SSRS, and Cognos reporting requirements, ensuring customer, claims, policy, and reinsurance metrics reconciled to governed data sources.. Partnered with engineering teams on Python-based reconciliation and Azure DevOps deployment support for data-integration and validation workflows.
Participated in requirements workshops with Underwriting, Reinsurance, Operations, QA, and IT stakeholders to document functional and data requirements.. Created BRDs, FRDs, user stories, process flows, RTM updates, and test scenarios for underwriting and reinsurance enhancements.. Used SQL queries to validate policy, underwriting, customer, and reinsurance data across SQL databases and warehouse tables, identifying data-quality and reconciliation issues.. Supported data mapping and field-level validation for policy lifecycle, rating, endorsements, quote generation, treaty setup, facultative placement, and bordereaux reporting.. Assisted with Guidewire Reinsurance Management requirements for cession rules, retention limits, treaty terms, and downstream ClaimCenter/BillingCenter integration.. Worked in Agile/Scrum sprints, supporting backlog refinement, acceptance criteria, defect review, and stakeholder communication through JIRA and Azure DevOps.. Collaborated with QA teams on UAT, functional testing, regression testing, and test-data validation, using SQL and business rules to confirm expected outcomes.. Supported reporting/data validation with Tableau, SSRS, and Python while maintaining traceability across AWS-hosted environments.