Sr Data Analyst- Brokerage Carrier Intergration

The Sr Data Analyst- Brokerage Carrier Integration plays a crucial role in enhancing the integration between our brokerage unit and insurance carriers. You will ensure the accuracy and completeness of exchanged data, coordinating data flows, resolving data quality issues, and serving as a liaison between departments, partners, and carrier partners.

Position Compensation Range:

$68,000.00 - $113,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

• Job Description Summary

  The Senior Data Analyst / Brokerage B2B Coordinator plays a crucial role in enhancing the integration between our brokerage unit and insurance carriers. You will ensure the accuracy and completeness of exchanged data, coordinating data flows, resolving data quality issues, and serving as a liaison between departments, partners, and carrier partners.

  Job Description

  Primary Accountabilities

• Conduct accurate business analysis to support decisions using statistical modeling and other business analysis tools.

• Collaborate with partners to define important financial and operational metrics to monitor and report performance.

• Collaborate with partners in the delivery of main performance analysis.

• Build and maintain models used to project our results; enhance the model where there is value in adjusting the models.

• Ensure analysis and reporting accuracy and integrity and explain performance drivers and provide insights into performance trends.

• Analyze and address data quality issues, tests and analyze impact of system changes to data/reporting infrastructure.

• Develops, tests, and deploys automated reporting solutions and automated decision analytics to replace manual business processes.

• May be requested to complete other assignments or participate in projects based on skills, achievements, or experience.

• Data Processing Operations:

  • Oversee daily data exchanges between insurance carrier partners and American Family, ensuring and accurate transmissions.

  • Monitor data processing to identify potential bottlenecks or issues.

  • Communicate and escalate data transmission issues to relevant partners.

  • Collaborate with IT and other departments to increase data exchange processes.

  • Ensure seamless data integration and synchronization across systems.

• Data Validation and Quality Assurance:

  • Communicate data validation requirements to IT partners to ensure data accuracy and completeness as part of the carrier data ingestion flow.

  • Identify and investigate data quality issues, such as missing, incorrect, or inconsistent data.

  • Develop data quality reports to track progress and identify improvement areas.

  • Conduct regular data audits to ensure compliance with data quality standards.

• Data Quality Improvement:

  • Coordinate carrier integration testing

  • Collaborate with insurance carriers and our teams to implement data quality improvements.

  • Identify new technologies or processes to enhance data quality.

  • Develop data quality improvement plans and programs.

• Carrier Communication and Planning:

  • Be a contact for insurance carriers and team members regarding data quality issues.

  • Communicate data quality issues and progress updates to relevant departments.

  • Collaborate with carrier partner to develop and implement integration improvement roadmaps/plans.

  • Develop relationships with insurance carrier partners.

  • Facilitate collaboration to address data quality challenges.

• Data Governance:

  • Understand data governance procedures.

  • Participate in data governance meetings and programs.

  • Advocate for data quality best practices.

  • Ensure compliance with regulatory requirements and industry standards.

• Documentation:

  • Maintain accurate documentation of data quality processes, procedures, and reports.

  • Ensure compliance with data quality standards and regulations.

  • Maintain data quality documentation, including data dictionaries and process flows.

  • Provide training and support to team members on data quality best practices.

• Metrics:

  • Create and report on data quali