Senior Enterprise Data Analyst

About Incline P&C Group

Incline P&C Group is a privately owned company, backed by private equity and its original founders, with an exclusive focus on the property and casualty program insurance market. The company writes approximately $2+ billion in premiums through its A-rated and managed carriers. Incline has a team of over 100 employees headquartered in Austin, Texas.

Reporting & Analytics

Incline Insurance Group is seeking a highly analytical and technically skilled Senior Enterprise Data Analyst to support enterprise data initiatives across finance, underwriting, actuarial, and operational systems.

This role sits at the intersection of data governance, reconciliation, transformation, automation, and advanced analytics. The Senior Enterprise Data Analyst plays a critical role in improving data integrity, supporting core system implementations (Duck Creek Reinsurance, Workday, Salesforce), enhancing enterprise data warehouse capabilities, and enabling data-informed decision-making across the organization.

About Incline P&C Group

Incline P&C Group is a privately owned company, backed by private equity and its original founders, with an exclusive focus on the property and casualty program insurance market. The company writes approximately $2+ billion in premiums through its A-rated and managed carriers. Incline has a team of over 100 employees headquartered in Austin, Texas.

About the Reporting & Analytics Function

Incline’s Reporting & Analytics function serves as the enterprise data backbone, supporting underwriting, actuarial, finance, reinsurance, and executive leadership. The team is responsible for transforming MGA-sourced data into a unified enterprise model while ensuring data quality, regulatory compliance, and decision-ready analytics.

The Senior Enterprise Data Analyst plays a key individual contributor role in strengthening data governance, reconciliation accuracy, warehouse architecture, and automation processes.

What You’ll Do

As a Senior Enterprise Data Analyst, you will serve as a subject matter expert in insurance data transformation, reconciliation, and enterprise analytics.

Data Transformation & Integration: Collect, cleanse, and transform complex insurance datasets, including premium, claims, endorsements, billing, and policy lifecycle data.  Align external MGA data structures with Incline’s internal systems and enterprise warehouse architecture.  Validate and standardize data mappings across Duck Creek Reinsurance, Workday, Salesforce, and Snowflake environments.  Improve data pipeline accuracy and consistency across systems.

Data Integrity, Reconciliation & Governance: Investigate and resolve complex data discrepancies across Snowflake, Oracle, and reporting platforms.  Perform root cause analysis on mapping, allocation, premium, and financial reconciliation issues.  Support regulatory reporting, Schedule F workflows, treaty reporting, and financial reconciliation processes.  Maintain strong data quality standards and governance documentation.  Proactively monitor data pipelines to identify and correct inconsistencies.

Enterprise Data Warehouse & Modeling: Design and optimize data models to support efficient querying and robust storage within Snowflake.  Develop advanced SQL queries and transformation logic.  Contribute to metadata documentation and warehouse best practices.  Support scalable data architecture improvements.

Analytics & Reporting: Conduct in-depth analysis to identify trends, anomalies, and operational improvement opportunities.  Develop executive-ready dashboards and reporting solutions (Power BI, QuickSight, or similar tools).  Support underwriting performance analysis, claims trends, portfolio profitability, and financial analytics.  Translate business requirements into structured reporting logic and data models.

Automation & Advanced Analytics: Identify manual processes and design automation solutions using SQL and Python.  Develop scalable scripts to streamline reconciliation, validation, and reporting workflows.  Explore predictive modeling, anomaly detection, and AI-supported insights where applicable.  Support user acceptance testing (UAT) and enterprise system implementations.

Cross-Functional Partnership: Act as a key liaison between IT, Actuarial, Finance, Underwriting, and Operations.  Partner with stakeho